@Preamble{"\input bibnames.sty" #
"\def \TM {${}^{\sc TM}$}"
}
@String{ack-nhfb = "Nelson H. F. Beebe,
University of Utah,
Department of Mathematics, 110 LCB,
155 S 1400 E RM 233,
Salt Lake City, UT 84112-0090, USA,
Tel: +1 801 581 5254,
FAX: +1 801 581 4148,
e-mail: \path|beebe@math.utah.edu|,
\path|beebe@acm.org|,
\path|beebe@computer.org| (Internet),
URL: \path|https://www.math.utah.edu/~beebe/|"}
@String{j-TAAS = "ACM Transactions on Autonomous and
Adaptive Systems (TAAS)"}
@Article{Serugendo:2006:I,
author = "Giovanna Di Marzo Serugendo",
title = "Introduction",
journal = j-TAAS,
volume = "1",
number = "1",
pages = "1--3",
month = sep,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1152934.1152935",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:22 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Labella:2006:DLG,
author = "Thomas H. Labella and Marco Dorigo and Jean-Louis
Deneubourg",
title = "Division of labor in a group of robots inspired by
ants' foraging behavior",
journal = j-TAAS,
volume = "1",
number = "1",
pages = "4--25",
month = sep,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1152934.1152936",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:22 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we analyze the behavior of a group of
robots involved in an object retrieval task. The
robots' control system is inspired by a model of ants'
foraging. This model emphasizes the role of learning in
the individual. Individuals adapt to the environment
using only locally available information. We show that
a simple parameter adaptation is an effective way to
improve the efficiency of the group and that it brings
forth division of labor between the members of the
group. Moreover, robots that are best at retrieving
have a higher probability of becoming active
retrievers. This selection of the best members does not
use any explicit representation of individual
capabilities. We analyze this system and point out its
strengths and its weaknesses.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "adaptation; adaptive systems; ant algorithms;
bio-inspired systems",
}
@Article{Babaoglu:2006:DPB,
author = "Ozalp Babaoglu and Geoffrey Canright and Andreas
Deutsch and Gianni A. Di Caro and Frederick Ducatelle
and Luca M. Gambardella and Niloy Ganguly and M{\'a}rk
Jelasity and Roberto Montemanni and Alberto Montresor
and Tore Urnes",
title = "Design patterns from biology for distributed
computing",
journal = j-TAAS,
volume = "1",
number = "1",
pages = "26--66",
month = sep,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1152934.1152937",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:22 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Recent developments in information technology have
brought about important changes in distributed
computing. New environments such as massively
large-scale, wide-area computer networks and mobile ad
hoc networks have emerged. Common characteristics of
these environments include extreme dynamicity,
unreliability, and large scale. Traditional approaches
to designing distributed applications in these
environments based on central control, small scale, or
strong reliability assumptions are not suitable for
exploiting their enormous potential. Based on the
observation that living organisms can effectively
organize large numbers of unreliable and
dynamically-changing components (cells, molecules,
individuals, etc.) into robust and adaptive structures,
it has long been a research challenge to characterize
the key ideas and mechanisms that make biological
systems work and to apply them to distributed systems
engineering. In this article we propose a conceptual
framework that captures several basic biological
processes in the form of a family of design patterns.
Examples include plain diffusion, replication,
chemotaxis, and stigmergy. We show through examples how
to implement important functions for distributed
computing based on these patterns. Using a common
evaluation methodology, we show that our bio-inspired
solutions have performance comparable to traditional,
state-of-the-art solutions while they inherit desirable
properties of biological systems including adaptivity
and robustness.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "ad-hoc networks; bio-inspiration; distributed design
patterns; peer-to-peer; self-&ast",
}
@Article{Mena:2006:SRS,
author = "Eduardo Mena and Arantza Illarramendi and Jose A. Royo
and Alfredo Go{\~n}I",
title = "A software retrieval service based on adaptive
knowledge-driven agents for wireless environments",
journal = j-TAAS,
volume = "1",
number = "1",
pages = "67--90",
month = sep,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1152934.1152938",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:22 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The ability to retrieve software in an easy and
efficient way confers competitive advantage on computer
users in general and, even more especially, on users of
wireless devices (like some laptops, PDAs, etc.). In
this article, we present a software retrieval service
that allows users to select and retrieve software in an
easy and efficient way, anywhere and anytime. Two
relevant components of this service are: (1) a software
ontology (software catalog) which provides users with a
semantic description of software elements, hiding the
location and access method of various software
repositories, and (2) a set of specialist agents that
allow browsing of the software catalog (automatically
customized for each user), and an efficient retrieval
method for the selected software. These agents
automatically adapt their behavior to different users
and situations by considering the profile and
preferences of the users and the network status. In
summary, our software-obtaining process based on an
ontology and autonomous and adaptive agents presents a
qualitative advance with respect to existing solutions:
our approach adapts to the features of users, relieving
them from knowing the technical features of their
devices and the location and access method of various
remote software repositories.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "adaptive multiagent systems; pervasive and mobile
computing; Software retrieval",
}
@Article{Khan:2006:AFE,
author = "Masood Mehmood Khan and Michael Ingleby and Robert D.
Ward",
title = "Automated Facial Expression Classification and affect
interpretation using infrared measurement of facial
skin temperature variations",
journal = j-TAAS,
volume = "1",
number = "1",
pages = "91--113",
month = sep,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1152934.1152939",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:22 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Machines would require the ability to perceive and
adapt to affects for achieving artificial sociability.
Most autonomous systems use Automated Facial Expression
Classification (AFEC) and Automated Affect
Interpretation (AAI) to achieve sociability. Varying
lighting conditions, occlusion, and control over
physiognomy can influence the real life performance of
vision-based AFEC systems. Physiological signals
provide complementary information for AFEC and AAI. We
employed transient facial thermal features for AFEC and
AAI. Infrared thermal images with participants' normal
expression and intentional expressions of happiness,
sadness, disgust, and fear were captured. Facial points
that undergo significant thermal changes with a change
in expression termed as Facial Thermal Feature Points
(FTFPs) were identified. Discriminant analysis was
invoked on principal components derived from the
Thermal Intensity Values (TIVs) recorded at the FTFPs.
The cross-validation and person-independent
classification respectively resulted in 66.28\% and
56.0\% success rates. Classification significance tests
suggest that (1) like other physiological cues, facial
skin temperature also provides useful information about
affective states and their facial expression; (2)
patterns of facial skin temperature variation can
complement other cues for AFEC and AAI; and (3)
infrared thermal imaging may help achieve artificial
sociability in robots and autonomous systems.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Automated affect recognition; facial expression
classification; infrared thermal imaging; socially
intelligent machines",
}
@Article{TAAS-Staff:2006:R,
author = "{ACM Transactions on Autonomous and Adaptive Systems
staff}",
title = "Reviewers",
journal = j-TAAS,
volume = "1",
number = "1",
pages = "114--114",
month = sep,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1152934.1152940",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:22 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Tuci:2006:CTS,
author = "Elio Tuci and Roderich Gro{\ss} and Vito Trianni and
Francesco Mondada and Michael Bonani and Marco Dorigo",
title = "Cooperation through self-assembly in multi-robot
systems",
journal = j-TAAS,
volume = "1",
number = "2",
pages = "115--150",
month = dec,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1186778.1186779",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:40 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article illustrates the methods and results of
two sets of experiments in which a group of mobile
robots, called {\em s-bots}, are required to physically
connect to each other, that is, to self-assemble, to
cope with environmental conditions that prevent them
from carrying out their task individually. The first
set of experiments is a pioneering study on the utility
of self-assembling robots to address relatively complex
scenarios, such as cooperative object transport. The
results of our work suggest that the s-bots possess
hardware characteristics which facilitate the design of
control mechanisms for autonomous self-assembly. The
control architecture we developed proved particularly
successful in guiding the robots engaged in the
cooperative transport task. However, the results also
showed that some features of the robots' controllers
had a disruptive effect on their performances. The
second set of experiments is an attempt to enhance the
adaptiveness of our multi-robot system. In particular,
we aim to synthesise an integrated (i.e., not-modular)
decision-making mechanism which allows the s-bot to
autonomously decide whether or not environmental
contingencies require self-assembly. The results show
that it is possible to synthesize, by using
evolutionary computation techniques, artificial neural
networks that integrate both the mechanisms for
sensory-motor coordination and for decision making
required by the robots in the context of
self-assembly.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "artificial neural networks; evolutionary algorithms;
evolutionary robotics; self-assembly; swarm
intelligence; Swarm robotics",
}
@Article{Soundararajan:2006:RPB,
author = "Gokul Soundararajan and Cristiana Amza",
title = "Reactive provisioning of backend databases in shared
dynamic content server clusters",
journal = j-TAAS,
volume = "1",
number = "2",
pages = "151--188",
month = dec,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1186778.1186780",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:40 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This paper introduces a self-configuring architecture
for on-demand resource allocation to applications in a
shared database cluster. We use a unified approach to
load and fault management based on data replication and
reactive replica provisioning. While data replication
provides scaling and high availability, reactive
provisioning dynamically allocates additional replicas
to applications in response to peak loads or failure
conditions, thus providing per application performance.
We design an efficient method for data migration when
joining a new replica to a running application that
allows for the quick addition of replicas with minimal
disruption of transaction processing. Furthermore, by
augmenting the adaptation feedback loop with awareness
of the delay introduced by the data migration process
in our replicated system, we avoid oscillations in
resource allocation. We investigate our transparent
database provisioning mechanisms in the context of
multitier dynamic content Web servers. We dynamically
expand/contract the respective allocations within the
database tier for two different applications, the TPC-W
e-commerce benchmark and the RUBIS online auction
benchmark. We demonstrate that our techniques provide
quality of service under different load and failure
scenarios.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Autonomic systems; databases; query processing;
transactions",
}
@Article{Gechter:2006:RAB,
author = "Franck Gechter and Vincent Chevrier and Fran{\c{c}}ois
Charpillet",
title = "A reactive agent-based problem-solving model:
Application to localization and tracking",
journal = j-TAAS,
volume = "1",
number = "2",
pages = "189--222",
month = dec,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1186778.1186781",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:40 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "For two decades, multi-agent systems have been an
attractive approach for problem solving and have been
applied to a wide range of applications. Despite the
lack of generic methodology, the reactive approach is
interesting considering the properties it provides.
This article presents a problem-solving model based on
a swarm approach where agents interact using
physics-inspired mechanisms. The initial problem and
its constraints are represented through agents'
environment, the dynamics of which is part of the
problem-solving process. This model is then applied to
localization and target tracking. Experiments assess
our approach and compare it to widely-used classical
algorithms.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "localization; mobile robots; reactive multi-agent
systems; tracking",
}
@Article{Dobson:2006:SAC,
author = "Simon Dobson and Spyros Denazis and Antonio
Fern{\'a}ndez and Dominique Ga{\"\i}ti and Erol Gelenbe
and Fabio Massacci and Paddy Nixon and Fabrice Saffre
and Nikita Schmidt and Franco Zambonelli",
title = "A survey of autonomic communications",
journal = j-TAAS,
volume = "1",
number = "2",
pages = "223--259",
month = dec,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1186778.1186782",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:40 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Autonomic communications seek to improve the ability
of network and services to cope with unpredicted
change, including changes in topology, load, task, the
physical and logical characteristics of the networks
that can be accessed, and so forth. Broad-ranging
autonomic solutions require designers to account for a
range of end-to-end issues affecting programming
models, network and contextual modeling and reasoning,
decentralised algorithms, trust acquisition and
maintenance---issues whose solutions may draw on
approaches and results from a surprisingly broad range
of disciplines. We survey the current state of
autonomic communications research and identify
significant emerging trends and techniques.",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Autonomic communication",
}
@Article{Anonymous:2006:R,
author = "Anonymous",
title = "Reviewers",
journal = j-TAAS,
volume = "1",
number = "2",
pages = "260--261",
month = dec,
year = "2006",
CODEN = "????",
DOI = "https://doi.org/10.1145/1186778.1186783",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:33:40 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Biskupski:2007:PMS,
author = "Bartosz Biskupski and Jim Dowling and Jan Sacha",
title = "Properties and mechanisms of self-organizing {MANET}
and {P2P} systems",
journal = j-TAAS,
volume = "2",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1216895.1216896",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:02 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Despite the recent appearance of self-organizing
distributed systems for Mobile Ad Hoc Networks (MANETs)
and Peer-to-Peer (P2P) networks, specific theoretical
aspects of both their properties and the mechanisms
used to establish those properties have been largely
overlooked. This has left many researchers confused as
to what constitutes a self-organizing distributed
system and without a vocabulary with which to discuss
aspects of these systems. This article introduces an
agent-based model of self-organizing MANET and P2P
systems and shows how it is realised in three existing
network systems. The model is based on concepts such as
partial views, evaluation functions, system utility,
feedback and decay. We review the three network
systems, AntHocNet, SAMPLE, and Freenet, and show how
they can achieve high scalability, robustness and
adaptability to unpredictable changes in their
environment, by using self-organizing mechanisms
similar to those found in nature. They are designed to
improve their operation in a dynamic, heterogeneous
environment, enabling them to often demonstrate
superior performance to state of the art distributed
systems. This article is also addressed at researchers
interested in gaining a general understanding of
different mechanisms and properties of
self-organization in distributed systems.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Adaptive systems; complex systems; MANET;
peer-to-peer; self-organization",
}
@Article{Kolan:2007:STD,
author = "Prakash Kolan and Ram Dantu",
title = "Socio-technical defense against voice spamming",
journal = j-TAAS,
volume = "2",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1216895.1216897",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:02 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Voice over IP (VoIP) is a key enabling technology for
migration of circuit-switched PSTN (Public Switched
Telephone Network) architectures to packet-based
networks. One problem of the present VoIP networks is
filtering spam calls referred to as SPIT (Spam over
Internet Telephony). Unlike spam in e-mail systems,
VoIP spam calls have to be identified in real time.
Many of the techniques devised for e-mail spam
detection rely upon content analysis, and in the case
of VoIP, it is too late to analyze the content (voice)
as the user would have already attended the call.
Therefore, the real challenge is to block a spam call
before the telephone rings. In addition, we believe it
is imperative that spam filters integrate human
behavioral aspects to gauge the legitimacy of voice
calls. We know that, when it comes to receiving or
rejecting a voice call, people use the social meaning
of trust, reputation, friendship of the calling party
and their own mood. In this article, we describe a
multi-stage, adaptive spam filter based on presence
(location, mood, time), trust, and reputation to detect
spam in voice calls. In particular, we describe a
closed-loop feedback control between different stages
to decide whether an incoming call is spam. We further
propose formalism for voice-specific trust and
reputation analysis. We base this formal model on a
human intuitive behavior for detecting spam based on
the called party's direct and indirect relationships
with the calling party. No VoIP corpus is available for
testing the detection mechanism. Therefore, for
verifying the detection accuracy, we used a laboratory
setup of several soft-phones, real IP phones and a
commercial-grade proxy server that receives and
processes incoming calls. We experimentally validated
the proposed filtering mechanisms by simulating spam
calls and measured the filter's accuracy by applying
the trust and reputation formalism. We observed that,
while the filter blocks a second spam call from a
spammer calling from the same end IP host and domain,
the filter needs only a maximum of three calls---even
in the case when spammer moves to a new host and
domain. Finally, we present a detailed sensitivity
analysis for examining the influence of parameters such
as spam volume and network size on the filter's
accuracy.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "behavior; reputation; SIP (Session Initiation
Protocol); SPIT (Spam over IP Telephony); tolerance;
Trust",
}
@Article{Litoiu:2007:PAM,
author = "Marin Litoiu",
title = "A performance analysis method for autonomic computing
systems",
journal = j-TAAS,
volume = "2",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1216895.1216898",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:02 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In an {\em autonomic computing\/} system, an autonomic
manager makes tuning, load balancing, or provisioning
decisions based on a predictive model of the system.
This article investigates performance analysis
techniques used by the autonomic manager. It looks at
the complexity of the workloads and presents algorithms
for computing the bounds of performance metrics for
distributed systems under {\em asymptotic\/} and {\em
nonasymptotic\/} conditions, that is, with saturated
and nonsaturated resources. The techniques used are
hybrid in nature, making use of performance evaluation
and linear and nonlinear programming models. The
workloads are characterized by the {\em workload
intensity}, which represents the total number of users
in the system, and by the {\em workload mixes}, which
depict the number of users in each class of service.
The results presented in this article can be applied to
distributed transactional systems. Such systems serve a
large number of users with many classes of services and
can thus be considered as representative of a large
class of autonomic computing systems.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "autonomic computing; performance models;
Self-management",
}
@Article{Mamei:2007:PPB,
author = "Marco Mamei and Franco Zambonelli",
title = "Pervasive pheromone-based interaction with {RFID}
tags",
journal = j-TAAS,
volume = "2",
number = "2",
pages = "4:1--4:??",
month = jun,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1242060.1242061",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:13 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Despite the growing interest in pheromone-based
interaction to enforce adaptive and context-aware
coordination, the number of deployed systems exploiting
digital pheromones to coordinate the activities of
situated autonomous agents is still very limited. In
this article, we present a simple low-cost and
general-purpose implementation of a pheromone-based
interaction mechanism for pervasive environments. This
is realized by making use of RFID tags to store digital
pheromones and by having humans or robots spread/sense
pheromones by properly writing/reading RFID tags
populating the surrounding physical environment. We
exemplify and evaluate the effectiveness of our
approach via an application for object-tracking. This
application allows robots and humans to find
forgotten-somewhere objects by following pheromones
trails associated with them. In addition, we sketch
further potential applications of our approach in
pervasive computing scenarios, discuss related work in
the area, and identify future research directions.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "pervasive computing; RFID tags; stigmergy",
}
@Article{Johnson:2007:MHD,
author = "Jeffrey H. Johnson and Pejman Iravani",
title = "The multilevel hypernetwork dynamics of complex
systems of robot soccer agents",
journal = j-TAAS,
volume = "2",
number = "2",
pages = "5:1--5:??",
month = jun,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1242060.1242062",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:13 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A mathematical formalism is sketched for representing
relational structure between agents. {\em n\/} -ary
relations, {\em n\/} > 2, require hypernetworks, which
generalize binary relation networks. {\em n\/} -ary
relations on sets create structure at higher levels of
representation to the elements in multilevel systems.
The {\em state\/} of a system is represented by its
multilevel relational structure. The {\em dynamics\/}
of a system are represented by state changes through
time. These can be continuous with no change in the
hypernetwork topology, but often they are not.
Controlling such systems involves taking actions
intended to result in desirable state changes. The
concept of multilevel hypernetwork can be applied to
multiagent systems in general.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "agent; complex systems; hypernetwork; multiagent
systems; multilevel representations; multilevel
systems; Q-analysis; robot soccer; robotics; simulated
multiagent football",
}
@Article{Chen:2007:ASN,
author = "Jinjun Chen and Yun Yang",
title = "Adaptive selection of necessary and sufficient
checkpoints for dynamic verification of temporal
constraints in grid workflow systems",
journal = j-TAAS,
volume = "2",
number = "2",
pages = "6:1--6:??",
month = jun,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1242060.1242063",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:13 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In grid workflow systems, a checkpoint selection
strategy is responsible for selecting checkpoints for
conducting temporal verification at the runtime
execution stage. Existing representative checkpoint
selection strategies often select some unnecessary
checkpoints and omit some necessary ones because they
cannot adapt to the dynamics and uncertainty of runtime
activity completion duration. In this article, based on
the dynamics and uncertainty of runtime activity
completion duration, we develop a novel checkpoint
selection strategy that can adaptively select not only
necessary, but also sufficient checkpoints.
Specifically, we introduce a new concept of minimum
time redundancy as a key reference parameter for
checkpoint selection. An important feature of minimum
time redundancy is that it can adapt to the dynamics
and uncertainty of runtime activity completion
duration. We develop a method on how to achieve minimum
time redundancy dynamically along grid workflow
execution and investigate its relationships with
temporal consistency. Based on the method and the
relationships, we present our strategy and rigorously
prove its necessity and sufficiency. The simulation
evaluation further demonstrates experimentally such
necessity and sufficiency and its significant
improvement on checkpoint selection over other
representative strategies.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "adaptive checkpoint selection; Grid workflows;
temporal constraints; temporal verification",
}
@Article{Tsai:2007:ISI,
author = "Jeffrey J. P. Tsai and Mukesh Singhal",
title = "Introduction: Special issue of the {IEEE SUTC'06}",
journal = j-TAAS,
volume = "2",
number = "3",
pages = "7:1--7:??",
month = sep,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1278460.1278461",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:20 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Herbert:2007:ACM,
author = "Douglas Herbert and Vinaitheerthan Sundaram and
Yung-Hsiang Lu and Saurabh Bagchi and Zhiyuan Li",
title = "Adaptive correctness monitoring for wireless sensor
networks using hierarchical distributed run-time
invariant checking",
journal = j-TAAS,
volume = "2",
number = "3",
pages = "8:1--8:??",
month = sep,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1278460.1278462",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:20 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article presents a hierarchical approach for
detecting faults in wireless sensor networks (WSNs)
after they have been deployed. The developers of WSNs
can specify ``invariants'' that must be satisfied by
the WSNs. We present a framework, Hierarchical SEnsor
Network Debugging (H-SEND), for lightweight checking of
invariants. H-SEND is able to detect a large class of
faults in data-gathering WSNs, and leverages the
existing message flow in the network by buffering and
piggybacking messages. H-SEND checks as closely to the
source of a fault as possible, pinpointing the fault
quickly and efficiently in terms of additional network
traffic. Therefore, H-SEND is suited to bandwidth or
communication energy constrained networks. A
specification expression is provided for specifying
invariants so that a protocol developer can write
behavioral level invariants. We hypothesize that data
from sensor nodes does not change dramatically, but
rather changes gradually over time. We extend our
framework for the invariants that includes values
determined at run-time in order to detect data trends.
The value range can be based on information local to a
single node or the surrounding nodes' values. Using our
system, developers can write invariants to detect data
trends without prior knowledge of correct values.
Automatic value detection can be used to detect
anomalies that cannot be detected in existing WSNs. To
demonstrate the benefits of run-time range detection
and fault checking, we construct a prototype WSN using
CO$_2$ and temperature sensors coupled to Mica2 motes.
We show that our method can detect sudden changes of
the environments with little overhead in communication,
computation, and storage.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "correctness monitoring; data integrity; fault
tolerance and diagnostics; in-network processing and
aggregation; Invariants; network protocols; programming
models and languages; run-time; tools",
}
@Article{Shyu:2007:NID,
author = "Mei-Ling Shyu and Thiago Quirino and Zongxing Xie and
Shu-Ching Chen and Liwu Chang",
title = "Network intrusion detection through Adaptive
Sub-Eigenspace Modeling in multiagent systems",
journal = j-TAAS,
volume = "2",
number = "3",
pages = "9:1--9:??",
month = sep,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1278460.1278463",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:20 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Recently, network security has become an extremely
vital issue that beckons the development of accurate
and efficient solutions capable of effectively
defending our network systems and the valuable
information journeying through them. In this article, a
distributed multiagent intrusion detection system (IDS)
architecture is proposed, which attempts to provide an
accurate and lightweight solution to network intrusion
detection by tackling issues associated with the design
of a distributed multiagent system, such as poor system
scalability and the requirements of excessive
processing power and memory storage. The proposed IDS
architecture consists of (i) the Host layer with
lightweight host agents that perform anomaly detection
in network connections to their respective hosts, and
(ii) the Classification layer whose main functions are
to perform misuse detection for the host agents, detect
distributed attacks, and disseminate network security
status information to the whole network. The intrusion
detection task is achieved through the employment of
the lightweight Adaptive Sub-Eigenspace Modeling
(ASEM)-based anomaly and misuse detection schemes.
Promising experimental results indicate that ASEM-based
schemes outperform the KNN and LOF algorithms, with
high detection rates and low false alarm rates in the
anomaly detection task, and outperform several
well-known supervised classification methods such as
C4.5 Decision Tree, SVM, NN, KNN, Logistic, and
Decision Table (DT) in the misuse detection task. To
assess the performance in a real-world scenario, the
Relative Assumption Model, feature extraction
techniques, and common network attack generation tools
are employed to generate normal and anomalous traffic
in a private LAN testbed. Furthermore, the scalability
performance of the proposed IDS architecture is
investigated through the simulation of the proposed
agent communication scheme, and satisfactory linear
relationships for both degradation of system response
time and agent communication generated network traffic
overhead are achieved.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "adaptive sub-eigenspace modeling (ASEM); Agent
communications; agent-based distributed system;
intrusion detection; network security",
}
@Article{Ren:2007:RRS,
author = "Shangping Ren and Yue Yu and Nianen Chen and Jeffrey
J.-P. Tsai and Kevin Kwiat",
title = "The role of roles in supporting reconfigurability and
fault localizations for open distributed and embedded
systems",
journal = j-TAAS,
volume = "2",
number = "3",
pages = "10:1--10:??",
month = sep,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1278460.1278464",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:20 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "One of the main characteristics of open distributed
embedded systems is that the involved entities are
often very dynamic --- different individual entities
may join or leave the systems frequently. Therefore,
systems built of these dynamic entities must be runtime
reconfigurable. In addition, large classes of open
embedded systems often have high availability and
dependability requirements. However, the openness makes
these requirements more difficult to achieve and the
system more vulnerable to attacks.\par
This article presents a coordination model, the Actor,
Role and Coordinator (ARC) model, that aims to support
reconfigurability and fault localization for open
distributed embedded software systems. In particular,
the actor model is used to model concurrent embedded
entities, while the system's reconfigurability and
dependability requirements are encapsulated within
coordination objects: roles and coordinators, and are
achieved through coordination among the actors. Roles,
as a key thrust in the ARC model not only represent an
abstraction for a set of behaviors shared by a group of
actors so that reconfiguration within the roles becomes
transparent to entities outside the roles, but also
assume coordination responsibilities among the member
actors. The article also argues from both analytical
and empirical perspectives that with the support of the
role, faults can be localized within actors, and actor
level reconfiguration becomes transparent to the
system.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "actors; coordination; coordinators; open distributed
embedded systems; roles",
}
@Article{Watanabe:2007:RFP,
author = "Kenichi Watanabe and Yoshio Nakajima and Tomoya
Enokido and Makoto Takizawa",
title = "Ranking factors in peer-to-peer overlay networks",
journal = j-TAAS,
volume = "2",
number = "3",
pages = "11:1--11:??",
month = sep,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1278460.1278465",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:20 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A large number of peer processes are distributed in a
peer-to-peer (P2P) overlay network. It is difficult,
maybe impossible for a peer to perceive the membership
and location of every resource object due to the
scalability and openness of a P2P network. In this
article, we discuss a fully distributed P2P system
where there is no centralized controller. Each peer has
to obtain service information from its acquaintance
peers and also send its service information to the
acquaintance peers. An acquaintance peer of a peer {\em
p\/} is a peer about whose service the peer {\em p\/}
knows and with which the peer {\em p\/} can directly
communicate in an overlay network. Some acquaintance
peer might hold obsolete service information and might
be faulty. Each peer has to find a more trustworthy one
among acquaintance peers. There are many discussions on
how to detect peers that hold a target object. However,
a peer cannot manipulate an object without being
granted access rights (permissions). In addition to
detecting what peers hold a target object, we have to
find peers granted access rights to manipulate the
target object. The trustworthiness of each acquaintance
is defined in terms of the satisfiability and ranking
factor in this article. The satisfiability of an
acquaintance peer shows how much each peer can trust
the acquaintance peer through direct communication to
not only detect target objects but also obtain their
access rights. On the other hand, the ranking factor of
an acquaintance peer indicates how much the
acquaintance peer is trusted only by trustworthy
acquaintance peers which is different from the
traditional reputation concept. We evaluate how the
trustworthiness of an acquaintance peer is changed
through interactions among peers in a detection
algorithm.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "acquaintances; P2P overlay networks; ranking factor;
satisfiability; trustworthiness",
}
@Article{Petta:2007:ISI,
author = "Paolo Petta and Andrea Omicini and Terry Payne and
Peter McBurney",
title = "Introduction to the special issue: The {AgentLink III}
technical forums",
journal = j-TAAS,
volume = "2",
number = "4",
pages = "12:1--12:??",
month = nov,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1293731.1293732",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:35 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article introduces the special issue of {\em ACM
Transactions on Autonomous and Adaptive Systems\/}
devoted to research papers arising from the three
Technical Forum Group meetings held in 2004 and 2005
that were organized and sponsored by the European FP6
Coordination Action AgentLink III.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "agent-oriented software engineering; AgentLink III;
autonomous agents; European research; multi-agent
systems; technical forums",
}
@Article{Locatelli:2007:ACU,
author = "Marco P. Locatelli and Giuseppe Vizzari",
title = "Awareness in collaborative ubiquitous environments:
The Multilayered Multi-Agent Situated System approach",
journal = j-TAAS,
volume = "2",
number = "4",
pages = "13:1--13:??",
month = nov,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1293731.1293733",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:35 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Collaborative Ubiquitous Environments (CUEs) are
environments that support collaboration among persons
in a context of ubiquitous computing. This article
shows how results of the research in the Multi-Agent
System (MAS) area, and in particular on MAS
environments, can be used to model, design and engineer
CUEs, with specific reference to the management of
context-awareness information. After a description of
the reference scenario, the Multilayered Multi-Agent
Situated System model will be introduced and applied to
represent and to manage several types of awareness
information (both physical and logical contextual
information). Finally, three different approaches to
the design and engineering of CUEs will then be
introduced and evaluated.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "context awareness; MAS environments",
}
@Article{Paurobally:2007:FWS,
author = "Shamimabi Paurobally and Valentina Tamma and Michael
Wooldrdige",
title = "A Framework for {Web} service negotiation",
journal = j-TAAS,
volume = "2",
number = "4",
pages = "14:1--14:??",
month = nov,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1293731.1293734",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:35 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In a survey on the theory and practice of agent system
deployment, conducted by the AgentLink workgroup on
networked agents, it was found that there are an
increasing number of initiatives for the migration of
agents research towards new Internet technologies such
as the semantic web, Grid, and Web services. In fact,
Grid computing and multi-agent systems research have
similar objectives. They both aim to achieve
``large-scale open distributed systems, capable of
being able to effectively and dynamically deploy and
redeploy computational (and other) resources as
required, to solve computationally complex problems''
[Foster and Kesselman 2003]. On the one hand,
service-oriented Grid architectures need to support
dynamic cooperation, negotiation, and adaptive
interactions between Web services controlling Grid
resources for efficient resource and task allocation
and execution. On the other hand, the Grid can
facilitate agent communication, life-cycle management,
and access to resources for agents. Although the
relevance of Grid for agent research and vice versa has
been identified in several forums, actual collaborative
applications are still in their infancy. In this
article, we discuss our recent work on deploying
multi-agent negotiation techniques to facilitate
dynamic negotiation for Grid resources as a step closer
to an adaptive and autonomous Grid. In particular, we
describe a Web service development of the Contract Net
Protocol for negotiation between insurance companies
and repair companies. We evaluate our approach to show
the added value of negotiable interactions between Web
services as opposed to inflexible single-shot
interactions that are currently the state of the art.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Grid; insurance; negotiation; Web services",
}
@Article{Poslad:2007:SPM,
author = "Stefan Poslad",
title = "Specifying protocols for multi-agent systems
interaction",
journal = j-TAAS,
volume = "2",
number = "4",
pages = "15:1--15:??",
month = nov,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1293731.1293735",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:35 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Multi-Agent-Systems or MAS represent a powerful
distributed computing model, enabling agents to
cooperate and complete with each other and to exchange
both semantic content and a semantic context to more
automatically and accurately interpret the content.
Many types of individual agent and MAS models have been
proposed since the mid-1980s, but the majority of these
have led to single developer homogeneous MAS systems.
For over a decade, the FIPA standards activity has
worked to produce public MAS specifications, acting as
a key enabler to support interoperability, open service
interaction, and to support heterogeneous development.
The main characteristics of the FIPA model for MAS and
an analysis of design, design choices and features of
the model is presented. In addition, a comparison of
the FIPA model for system interoperability versus those
of other standards bodies is presented, along with a
discussion of the current status of FIPA and future
directions.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "autonomy; deployment; Multi-Agent systems; semantics;
social interaction; specifications",
}
@Article{Penserini:2007:HVD,
author = "Loris Penserini and Anna Perini and Angelo Susi and
John Mylopoulos",
title = "High variability design for software agents: Extending
Tropos",
journal = j-TAAS,
volume = "2",
number = "4",
pages = "16:1--16:??",
month = nov,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1293731.1293736",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:35 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Many classes of distributed applications, including
e-business, e-government, and ambient intelligence,
consist of networking infrastructures, where the nodes
(peers) --- be they software components, human actors
or organizational units --- cooperate with each other
to achieve shared goals. The multi-agent system
metaphor fits very well such settings because it is
founded on intentional and social concepts and
mechanisms. Not surprisingly, many agent-oriented
software development methods have been proposed,
including GAIA, PASSI, and {\em Tropos}. This paper
extends the {\em Tropos\/} methodology, enhancing its
ability to support high variability design through the
explicit modelling of alternatives, it adopts an
extended notion of agent capability and proposes a
refined {\em Tropos\/} design process. The paper also
presents an implemented software development
environment for {\em Tropos}, founded on the
Model-Driven Architecture (MDA) framework and
standards. The extended {\em Tropos\/} development
process is illustrated through a case study involving
an e-commerce application.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Agent capability design; agent-oriented software
engineering; early requirements; goal-oriented
requirements engineering",
}
@Article{Anonymous:2007:R,
author = "Anonymous",
title = "Reviewers 2007",
journal = j-TAAS,
volume = "2",
number = "4",
pages = "17:1--17:??",
month = nov,
year = "2007",
CODEN = "????",
DOI = "https://doi.org/10.1145/1293731.1293737",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:35 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Urgaonkar:2008:ADP,
author = "Bhuvan Urgaonkar and Prashant Shenoy and Abhishek
Chandra and Pawan Goyal and Timothy Wood",
title = "Agile dynamic provisioning of multi-tier {Internet}
applications",
journal = j-TAAS,
volume = "3",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1342171.1342172",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:52 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Dynamic capacity provisioning is a useful technique
for handling the multi-time-scale variations seen in
Internet workloads. In this article, we propose a novel
dynamic provisioning technique for multi-tier Internet
applications that employs (1) a flexible queuing model
to determine how much of the resources to allocate to
each tier of the application, and (2) a combination of
predictive and reactive methods that determine when to
provision these resources, both at large and small time
scales. We propose a novel data center architecture
based on virtual machine monitors to reduce
provisioning overheads. Our experiments on a
forty-machine Xen/Linux-based hosting platform
demonstrate the responsiveness of our technique in
handling dynamic workloads. In one scenario where a
flash crowd caused the workload of a three-tier
application to double, our technique was able to double
the application capacity within five minutes, thus
maintaining response-time targets. Our technique also
reduced the overhead of switching servers across
applications from several minutes to less than a
second, while meeting the performance targets of
residual sessions.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "dynamic provisioning; Internet application",
}
@Article{Hilaire:2008:AAA,
author = "Vincent Hilaire and Abder Koukam and Sebastian
Rodriguez",
title = "An adaptative agent architecture for holonic
multi-agent systems",
journal = j-TAAS,
volume = "3",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1342171.1342173",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:52 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-organized multi-agent systems (MAS) are still
difficult to engineer, because, to deal with real world
problems, a self-organized MAS should exhibit complex
adaptive organizations. In this respect the holonic
paradigm provides a solution for modelling complex
organizational structures. Holons are defined as
self-similar entities that are neither parts nor
wholes. The organizational structure produced by holons
is called a holarchy. A holonic MAS (HMAS) considers
agents as holons that are grouped according to
holarchies. The goal of this article is to introduce an
architecture that allows holons to adapt to their
environment. The metaphor is based upon the immune
system and considers stimulations/requests as antigens
and selected antibodies as reactions/answers. Each
antibody is activated by specific antigens and
stimulated and/or inhibited by other antibodies. The
immune system rewards (respectively penalizes) selected
antibodies, which constitutes a good (respectively
wrong) answer to a request. This mechanism allows an
agent to choose from a set of possible behaviors, the
one that seems the best fit for a specific context. In
this context, each holon, atomic or composed,
encapsulates an immune system in order to select a
behavior. For composed holons, each sub-holon is
represented by the selected antibody of its immune
system. The super-holon's immune system therefore
contains one antibody per sub-holon. This recursive
architecture corresponds with the recursive nature of
the holarchy. This architecture is presented with an
example of simulated robot soccer. From experiments
under different conditions we show that this
architecture has interesting properties.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Agents; holonic systems; immune systems",
}
@Article{Shen:2008:ABD,
author = "Chien-Chung Shen and Ke Li and Chaiporn Jaikaeo and
Vinay Sridhara",
title = "Ant-based distributed constrained {Steiner} tree
algorithm for jointly conserving energy and bounding
delay in ad hoc multicast routing",
journal = j-TAAS,
volume = "3",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1342171.1342174",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:52 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The minimum-energy multicast tree problem aims to
construct a multicast tree rooted at the source node
and spanning all the destination nodes such that the
sum of transmission power at non-leaf nodes is
minimized. However, aggressive power assignment at
non-leaf nodes, although conserving more energy,
results in multicast trees that suffer from higher hop
count and jeopardizes delay-sensitive applications,
signifying a clear tradeoff between energy efficiency
and delay. This article formulates these issues as a
{\em constrained Steiner tree\/} problem, and describes
a distributed constrained Steiner tree algorithm, which
jointly conserves energy and bounds delay for multicast
routing in ad hoc networks. In particular, the proposed
algorithm concurrently constructs a constrained Steiner
tree, performs transmission power assignment at
non-leaf nodes, and strives to minimize the sum of
transmission power of non-leaf nodes, subject to the
given maximum hop count constraint. Simulation results
validate the effectiveness and reveal the
characteristics of the proposed algorithm.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Ad hoc networks; constrained Steiner tree; multicast;
swarm intelligence",
}
@Article{Gelenbe:2008:AQA,
author = "Erol Gelenbe and Georgia Sakellari and Maurizio
D'Arienzo",
title = "Admission of {QoS} aware users in a smart network",
journal = j-TAAS,
volume = "3",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1342171.1342175",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:34:52 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Smart networks have grown out of the need for stable,
reliable, and predictable networks that will guarantee
packet delivery under Quality of Service (QoS)
constraints. In this article we present a
measurement-based admission control algorithm that
helps control traffic congestion and guarantee QoS
throughout the lifetime of a connection. When a new
user requests to enter the network, probe packets are
sent from the source to the destination to estimate the
impact that the new connection will have on the QoS of
both the new and the existing users. The algorithm uses
a novel algebra of QoS metrics, inspired by Warshall's
algorithm, to look for a path with acceptable QoS
values to accommodate the new flow. We describe the
underlying mathematical principles and present
experimental results obtained by evaluating the method
in a large laboratory test-bed operating the Cognitive
Packet Network (CPN) protocol.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "cognitive packet network; measurement-based admission
control; quality of service; self-aware",
}
@Article{Forestiero:2008:GSO,
author = "Agostino Forestiero and Carlo Mastroianni and
Giandomenico Spezzano",
title = "{So-Grid}: a self-organizing {Grid} featuring
bio-inspired algorithms",
journal = j-TAAS,
volume = "3",
number = "2",
pages = "5:1--5:??",
month = may,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1352789.1352790",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:04 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article presents So-Grid, a set of bio-inspired
algorithms tailored to the decentralized construction
of a {\em Grid\/} information system that features
adaptive and self-organization characteristics. Such
algorithms exploit the properties of {\em swarm\/}
systems, in which a number of entities/agents perform
simple operations at the local level, but together
engender an advanced form of {\em swarm intelligence\/}
at the global level. In particular, So-Grid provides
two main functionalities: logical reorganization of
resources, inspired by the behavior of some species of
ants and termites that move and collect items within
their environment, and resource discovery, inspired by
the mechanisms through which ants searching for food
sources are able to follow the pheromone traces left by
other ants. These functionalities are correlated, since
an intelligent dissemination can facilitate discovery.
In the Grid environment, a number of ant-like agents
autonomously travel the Grid through P2P
interconnections and use biased probability functions
to: (i) replicate resource descriptors in order to
favor resource discovery; (ii) collect resource
descriptors with similar characteristics in nearby Grid
hosts; (iii) foster the dissemination of descriptors
corresponding to {\em fresh\/} (recently updated)
resources and to resources having high quality of
service (QoS) characteristics. Simulation analysis
shows that the So-Grid replication algorithm is capable
of reducing the entropy of the system and efficiently
disseminating content. Moreover, as descriptors are
progressively reorganized and replicated, the So-Grid
discovery algorithm allows users to reach Grid hosts
that store information about a larger number of useful
resources in a shorter amount of time. The proposed
approach features characteristics, including
self-organization, scalability and adaptivity, which
make it useful for a dynamic and partially unreliable
distributed system.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Grid; multiagent systems; P2P; resource discovery;
self-organization; swarm intelligence",
}
@Article{Gounaris:2008:CTA,
author = "Anastasios Gounaris and Christos Yfoulis and Rizos
Sakellariou and Marios D. Dikaiakos",
title = "A control theoretical approach to self-optimizing
block transfer in {Web} service grids",
journal = j-TAAS,
volume = "3",
number = "2",
pages = "6:1--6:??",
month = may,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1352789.1352791",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:04 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Nowadays, Web Services (WS) play an important role in
the dissemination and distributed processing of large
amounts of data that become available on the Web. In
many cases, it is essential to retrieve and process
such data in blocks, in order to benefit from pipelined
parallelism and reduced communication costs. This
article deals with the problem of minimizing at
runtime, in a self-managing way, the total response
time of a call to a database exposed to a volatile
environment, like the Grid, as a WS. Typically, in this
scenario, response time exhibits a concave, nonlinear
behavior depending on the client-controlled size of the
individual requests comprising a fixed size task. In
addition, no accurate profiling or internal state
information is available, and the optimum point is
volatile. This situation is encountered in several
systems, such as WS Management Systems (WSMS) for
DBMS-like data management over wide area service-based
networks, and the widely spread OGSA-DAI WS for
accessing and integrating traditional DBMS. The main
challenges in this problem apart from the
unavailability of a model, include the presence of
noise, which incurs local minima, the volatility of the
environment, which results in moving optimum operating
point, and the requirements for fast convergence to the
optimal size of the request from the side of the client
rather than of the server, and for low overshooting.
Two solutions are presented in this work, which fall
into the broader areas of runtime optimization and
switching extremum control. They incorporate heuristics
to avoid local optimal points, and address all the
aforementioned challenges. The effectiveness of the
solutions is verified via both empirical evaluation in
real cases and simulations, which show that significant
performance benefits can be provided rendering obsolete
the need for detailed profiling of the WS.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Autonomic computing; control theory; data grids;
extremum control; OGSA-DAI; Web Services",
}
@Article{Garruzzo:2008:ACB,
author = "Salvatore Garruzzo and Domenico Rosaci",
title = "Agent clustering based on semantic negotiation",
journal = j-TAAS,
volume = "3",
number = "2",
pages = "7:1--7:??",
month = may,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1352789.1352792",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:04 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Forming groups of agents is an important task in many
agent-based applications, for example when determining
a coalition of buyers in an e-commerce community or
organizing different Web services in a Web services'
composition. A key issue in this context is that of
generating groups of agents such that the communication
among agents of the same group is not subjected to
comprehension problems. To this purpose, several
approaches have been proposed in the past in order to
form groups of agents based on some similarity measures
among agents. Such similarity measures are mainly based
on lexical and/or structural similarities among agent
ontologies. However, the necessity of taking into
account a semantic component of the similarity value
arises, for example by considering the context in which
a term is used in an agent ontology. Therefore we
propose a clustering technique based on the HISENE
semantic negotiation protocol, using a similarity value
that has lexical, structural and semantic components.
Moreover, we introduce a suitable multiagent
architecture that allows computing agent similarities
by means of an efficient distributed approach.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Ontologies; open multiagent systems; semantic
negotiation",
}
@Article{Baumes:2008:VVR,
author = "Jeffrey Baumes and Hung-Ching (Justin) Chen and
Matthew Francisco and Mark Goldberg and Malik
Magdon-Ismail and William Wallace",
title = "{ViSAGE}: a {\em Vi\/} rtual Laboratory for {\em
S\/}imulation and {\em A\/}nalysis of Social {\em
G\/}roup {\em E\/}volution",
journal = j-TAAS,
volume = "3",
number = "3",
pages = "8:1--8:??",
month = aug,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1380422.1380423",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:13 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We present a modeling laboratory, Virtual Laboratory
for the Simulation and Analysis of Social Group
Evolution (ViSAGE), that views the organization of
human communities and the experience of individuals in
a community as contingent upon on the dynamic
properties, or {\em micro-laws}, of social groups. The
laboratory facilitates the theorization and validation
of these properties through an iterative research
processes that involves (1) forward simulation
experiments, which are used to formalize dynamic group
properties, (2) reverse engineering from real data on
how the parameters are distributed among individual
actors in the community, and (3) grounded research,
such as participant observation, that follows specific
activities of real actors in a community and determines
if, or how well, the micro-laws describe the way
choices are made in real world, local settings. In this
article we report on the design of ViSAGE. We first
give some background to the model. Next we detail each
component. We then describe a set of simulation
experiments that we used to further design and clarify
ViSAGE as a tool for studying emergent
properties/phenomena in social networks.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "agent-based modeling and simulation; social capital;
virtual social science laboratory",
}
@Article{Koshutanski:2008:IAC,
author = "Hristo Koshutanski and Fabio Massacci",
title = "Interactive access control for autonomic systems: From
theory to implementation",
journal = j-TAAS,
volume = "3",
number = "3",
pages = "9:1--9:??",
month = aug,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1380422.1380424",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:13 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Autonomic communication and computing is a new
paradigm for dynamic service integration over a
network. An autonomic network crosses organizational
and management boundaries and is provided by entities
that see each other just as partners. For many services
no autonomic partner may guess a priori what will be
sent by clients nor clients know a priori what
credentials are required to access a service.\par
To address this problem we propose a new {\em
interactive access control\/}: servers should interact
with clients, asking for missing credentials necessary
to grant access, whereas clients may supply or decline
the requested credentials. Servers evaluate their
policies and interact with clients until a decision of
grant or deny is taken.\par
This proposal is grounded in a formal model on
policy-based access control. It identifies the formal
reasoning services of deduction, abduction and
consistency. Based on them, the work proposes a
comprehensive access control framework for autonomic
systems. An implementation of the interactive model is
given followed by system performance evaluation.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "abduction; autonomic systems; disclosure control;
Interactive access control; logic programming;
nonmonotonic policy",
}
@Article{Yu:2008:AAT,
author = "Zhenwei Yu and Jeffrey J. P. Tsai and Thomas
Weigert",
title = "An adaptive automatically tuning intrusion detection
system",
journal = j-TAAS,
volume = "3",
number = "3",
pages = "10:1--10:??",
month = aug,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1380422.1380425",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:13 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "An intrusion detection system (IDS) is a security
layer to detect ongoing intrusive activities in
computer systems and networks. Current IDS have two
main problems: The first problem is that typically so
many alarms are generated as to overwhelm the system
operator, many of these being false alarms. The second
problem is that continuous tuning of the intrusion
detection model is required in order to maintain
sufficient performance due to the dynamically changing
nature of the monitored system. This manual tuning
process relies on the system operators to work out the
updated tuning solution and to integrate it into the
detection model.\par
In this article, we present an automatically tuning
intrusion detection system, which controls the number
of alarms output to the system operator and tunes the
detection model on the fly according to feedback
provided by the system operator when false predictions
are identified. This system adapts its behavior (i) by
throttling the volume of alarms output to the operator
in response to the ability of the operator to respond
to these alarms, and (ii) by deciding how aggressively
the detection model should be tuned based on the
accuracy of earlier predictions. We evaluated our
system using the KDDCup'99 intrusion detection dataset.
Our results show that an adaptive, automatically tuning
intrusion detection system will be both practical and
efficient.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Fuzzy control; intrusion detection",
}
@Article{Ko:2008:NCN,
author = "Steven Y. Ko and Indranil Gupta and Yookyung Jo",
title = "A new class of nature-inspired algorithms for
self-adaptive peer-to-peer computing",
journal = j-TAAS,
volume = "3",
number = "3",
pages = "11:1--11:??",
month = aug,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1380422.1380426",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:13 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We present, and evaluate benefits of, a design
methodology for translating natural phenomena
represented as mathematical models, into novel,
self-adaptive, peer-to-peer (p2p) distributed computing
algorithms ({\em protocols\/}). Concretely, our first
contribution is a set of techniques to translate
discrete {\em sequence equations\/} (also known as
difference equations) into new p2p protocols called
{\em sequence protocols}. Sequence protocols are
self-adaptive, scalable, and fault-tolerant, with
applicability in p2p settings like Grids. A sequence
protocol is a set of probabilistic local and
message-passing actions for each process. These actions
are translated from terms in a set of source sequence
equations. Individual processes do not simulate the
source sequence equations completely. Instead, each
process executes probabilistic local and message
passing actions, so that the emergent round-to-round
behavior of the sequence protocol in a p2p system can
be probabilistically predicted by the source sequence
equations. The article's second contribution is the
design and evaluation of a set of sequence protocols
for detection of two global triggers in a distributed
system: threshold detection and interval detection.
This article's third contribution is a new
self-adaptive Grid computing protocol called
HoneyAdapt. HoneyAdapt is derived from sequence
equations modeling adaptive bee foraging behavior in
nature. HoneyAdapt is intended for Grid applications
that allow Grid clients, at run-time, a choice of
algorithms for executing chunks of the application's
dataset. HoneyAdapt tells each Grid client how to
adaptively select at run-time, for each chunk it
receives, a good algorithm for computing the chunk ---
this selection is based on continuous feedback from
other clients. Finally, we design a variant of
HoneyAdapt, called HoneySort, for application to Grid
parallelized sorting settings using the master-worker
paradigm. Our evaluation of these contributions
consists of mathematical analysis, large-scale
trace-based simulation results, and experimental
results from a HoneySort deployment.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "adaptivity; autonomic computing and communication;
bio-inspired techniques; Complex adaptive systems;
convergence; design methodology; difference equations;
distributed protocols; grid computing; probabilistic
protocols; sequence equations; sequence protocols",
}
@Article{Datta:2008:ISI,
author = "Ajoy K. Datta",
title = "Introduction to special issue on stabilization,
safety, and security of distributed systems",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "12:1--12:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452002",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Angluin:2008:SSP,
author = "Dana Angluin and James Aspnes and Michael J. Fischer
and Hong Jiang",
title = "Self-stabilizing population protocols",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "13:1--13:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452003",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article studies self-stabilization in networks of
anonymous, asynchronously interacting nodes where the
size of the network is unknown. Constant-space
protocols are given for Dijkstra-style round-robin
token circulation, leader election in rings, two-hop
coloring in degree-bounded graphs, and establishing
consistent global orientation in an undirected ring. A
protocol to construct a spanning tree in regular graphs
using {\em O\/} (log {\em D\/}) memory is also given,
where {\em D\/} is the diameter of the graph. A general
method for eliminating nondeterministic transitions
from the self-stabilizing implementation of a large
family of behaviors is used to simplify the
constructions, and general conditions under which
protocol composition preserves behavior are used in
proving their correctness.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Anonymous; fairness; finite-state; population
protocols; self-stabilization; sensor networks",
}
@Article{Cao:2008:MEN,
author = "Hui Cao and Emre Ertin and Anish Arora",
title = "{MiniMax} equilibrium of networked differential
games",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "14:1--14:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452004",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Surveillance systems based on wireless sensor network
technology have been shown to successfully detect,
classify and track evaders over a large area. State
information collected via the sensor network also
enables these systems to actuate mobile agents so as to
achieve surveillance goals, such as target capture and
asset protection. But satisfying these goals is
complicated by the fact that the track information in a
sensor network is routed to mobile agents through
multihop wireless communication links and is thus
subject to message delays and losses. Stabilization
must also be considered in designing pursuer strategies
so as to deal with state corruption as well as
suboptimal evader strategies.\par
In this article, we formulate optimal pursuit control
strategies in the presence of network effects, assuming
that target track information has been established
locally in the sensor network. We adapt ideas from the
theory of differential games to networked games ---
including ones involving nonperiodic track updates,
message losses and message delays --- to derive optimal
strategies, bounds on the information requirements, and
scaling properties of these bounds. We show the
inherent stabilization features of our pursuit
strategies, both in terms of implementation as well as
the strategies themselves.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "delay; differential games; equilibrium; sensor
networks",
}
@Article{Cohen:2008:ESS,
author = "Johanne Cohen and Anurag Dasgupta and Sukumar Ghosh
and S{\'e}bastien Tixeuil",
title = "An exercise in selfish stabilization",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "15:1--15:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452005",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Stabilizing distributed systems expect all the
component processes to run predefined programs that are
externally mandated. In Internet scale systems, this is
unrealistic, since each process may have selfish
interests and motives related to maximizing its own
payoff. This article formulates the problem of selfish
stabilization to show how competition blends with
cooperation in a stabilizing environment.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "convergences; equilibrium; selfishness;
Stabilization",
}
@Article{Dieudonne:2008:CFW,
author = "Yoann Dieudonn{\'e} and Ouiddad Labbani-Igbida and
Franck Petit",
title = "Circle formation of weak mobile robots",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "16:1--16:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452006",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We consider distributed systems made of {\em weak
mobile\/} robots, that is, mobile devices, equipped
with sensors, that are {\em anonymous}, {\em
autonomous}, {\em disoriented}, and {\em oblivious}.
The {\em Circle Formation Problem\/} (CFP) consists of
the design of a protocol insuring that, starting from
an initial arbitrary configuration where no two robots
are at the same position, all the robots eventually
form a {\em regular n-gon\/} --- the robots take place
on the circumference of a circle {\em C\/} with equal
spacing between any two adjacent robots on {\em
C}.\par
CFP is known to be unsolvable by arranging the robots
evenly along the circumference of a circle {\em C\/}
without leaving {\em C\/} --- that is, starting from a
configuration where the robots are on the boundary of
{\em C}. We circumvent this impossibility result by
designing a scheme based on {\em concentric circles}.
This is the first scheme that deterministically solves
CFP. We present our method with two different
implementations working in the semi-synchronous system
(SSM) for any number {\em n\/} \geq 5 of robots.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Distributed computing; formation of geometric
patterns; mobile robot networks; self-deployment",
}
@Article{Dolev:2008:SSD,
author = "Shlomi Dolev and Reuven Yagel",
title = "Self-stabilizing device drivers",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "17:1--17:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452007",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This work presents approaches for designing the
input-output device management components of
self-stabilizing operating systems. As an example, we
demonstrate the nonstability of the ata standard
protocol for storage devices. We state the requirements
that an operating system and I/O devices should satisfy
in order to become self-stabilizing. Then we suggest
two solutions to satisfy these requirements. The first
uses leases to guarantee progress from the I/O device
side. The second assumes stabilization of the I/O
device, and uses snapshots to perform consistency
checks. A device driver for a PC hard-disk, using the
first solution, was implemented. By supplying an
infrastructure for practical self-stabilizing systems,
robust and dependable systems can be achieved.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Elmallah:2008:LK,
author = "Ehab S. Elmallah and Mohamed G. Gouda and Sandeep S.
Kulkarni",
title = "Logarithmic keying",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "18:1--18:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452008",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Consider a communication network where each process
needs to securely exchange messages with its
neighboring processes. In this network, each sent
message is encrypted using one or more symmetric keys
that are shared only between two processes: the process
that sends the message and the neighboring process that
receives the message. A straightforward scheme for
assigning symmetric keys to the different processes in
such a network is to assign each process {\em O\/}
({\em d\/}) keys, where {\em d\/} is the maximum number
of neighbors of any process in the network. In this
article, we present a more efficient scheme for
assigning symmetric keys to the different processes in
a communication network. This scheme, which is referred
to as logarithmic keying, assigns {\em O\/} (log {\em
d\/}) symmetric keys to each process in the network. We
show that logarithmic keying can be used in rich
classes of communication networks that include star
networks, acyclic networks, limited-cycle networks,
planar networks, and dense bipartite networks. In
addition, we present a construction that utilizes
efficient keying schemes for general bipartite networks
to construct efficient keying schemes for general
networks.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "keying scheme; secure communications; symmetric keys",
}
@Article{Dastidar:2008:SPP,
author = "Kajari Ghosh Dastidar and Ted Herman and Colette
Johnen",
title = "Safe peer-to-peer self-downloading",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "19:1--19:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452009",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A goal of peer-to-peer applications is to share files
between users themselves rather than downloading files
from file servers. Self-downloading protocols have the
property that, eventually, every user downloads only
from other users. Self-downloading is problematic if
users disconnect from the system upon completing file
downloading, because they only share with other users
while connected. Yet, if users continue to arrive at a
sufficient rate, self-downloading protocols are
possible. One vulnerability of file sharing between
users is the possibility that files or segments could
be counterfeit or corrupt. Protocols that are {\em d\/}
-safe tolerate some number of instances of faulty
segments in a file being downloaded, because each
segment is downloaded {\em d\/} times before being
shared. This article shows that {\em d\/} -safe
self-downloading is possible for a sufficiently large
arrival rate of users to the system. Upper and lower
connectivity and sharing bounds are given for {\em d\/}
= 2, and simulation results show effects of relaxing
assumptions about arrival rates and bandwidth.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Peer-to-peer distributed systems",
}
@Article{Guerraoui:2008:GCI,
author = "R. Guerraoui and N. Lynch",
title = "A general characterization of indulgence",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "20:1--20:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452010",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "An indulgent algorithm is a distributed algorithm
that, besides tolerating process failures, also
tolerates unreliable information about the interleaving
of the processes. This article presents a general
characterization of indulgence in an abstract computing
model that encompasses various communication and
resilience schemes. We use our characterization to
establish several results about the inherent power and
limitations of indulgent algorithms.",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "agreement; process failures; scheduling failures",
}
@Article{Anonymous:2008:R,
author = "Anonymous",
title = "Reviewers 2008",
journal = j-TAAS,
volume = "3",
number = "4",
pages = "21:1--21:??",
month = nov,
year = "2008",
CODEN = "????",
DOI = "https://doi.org/10.1145/1452001.1452011",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:25 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Datta:2009:ISI,
author = "Ajoy K. Datta",
title = "Introduction to special issue on stabilization,
safety, and security of distributed systems",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "1:1--1:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462188",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Ammari:2009:FTM,
author = "Habib M. Ammari and Sajal K. Das",
title = "Fault tolerance measures for large-scale wireless
sensor networks",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "2:1--2:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462189",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "{\em Connectivity}, primarily a graph-theoretic
concept, helps define the {\em fault tolerance\/} of
wireless sensor networks (WSNs) in the sense that it
enables the sensors to communicate with each other so
their sensed data can reach the sink. On the other
hand, {\em sensing coverage}, an intrinsic
architectural feature of WSNs plays an important role
in meeting application-specific requirements, for
example, to reliably extract relevant data about a
sensed field. Sensing coverage and network connectivity
are not quite orthogonal concepts. In fact, it has been
proven that connectivity strongly depends on coverage
and hence considerable attention has been paid to
establish tighter connection between them although only
loose lower bound on network connectivity of WSNs is
known. In this article, we investigate connectivity
based on the degree of sensing coverage by studying
{\em k-covered\/} WSNs, where every location in the
field is simultaneously covered (or sensed) by at least
{\em k\/} sensors (property known as {\em k-coverage},
where {\em k\/} is the {\em degree of coverage\/}). We
observe that to derive network connectivity of {\em
k\/} -covered WSNs, it is necessary to compute the
sensor spatial density required to guarantee {\em k\/}
-coverage. More precisely, we propose to use a model,
called the {\em Reuleaux Triangle}, to characterize
{\em k\/} -coverage with the help of Helly's Theorem
and the analysis of the intersection of sensing disks
of {\em k\/} sensors. Using a deterministic approach,
we show that the sensor spatial density to guarantee
{\em k\/} -coverage of a convex field is proportional
to {\em k\/} and inversely proportional to the sensing
range of the sensors. We also prove that network
connectivity of {\em k\/} -covered WSNs is higher than
their sensing coverage {\em k}. Furthermore, we propose
a new measure of fault tolerance for {\em k\/} -covered
WSNs, called {\em conditional fault tolerance}, based
on the concepts of {\em conditional connectivity\/} and
{\em forbidden faulty sensor set\/} that includes all
the neighbors of a given sensor. We prove that {\em
k\/} -covered WSNs can sustain a large number of sensor
failures provided that the faulty sensor set does not
include a forbidden faulty sensor set.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "connectivity; coverage; fault tolerance; k -covered
wireless sensor networks",
}
@Article{Bapat:2009:CRS,
author = "S. Bapat and W. Leal and T. Kwon and P. Wei and A.
Arora",
title = "Chowkidar: Reliable and scalable health monitoring for
wireless sensor network testbeds",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "3:1--3:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462190",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Wireless sensor network (WSN) testbeds are useful
because they provide a way to test applications in an
environment that makes it easy to deploy experiments,
configure them statically or dynamically, and gather
performance information. However, WSNs are typically
composed of low-cost devices and tend to be unreliable,
with failures a common phenomenon. Accurate knowledge
of network health status, including nodes and links of
each type, is critical for correctly configuring
applications on WSN testbeds and for interpreting the
data collected from them.\par
In this article we present a stabilizing protocol,
Chowkidar, that provides accurate and efficient network
health monitoring in WSNs. Our approach adapts the
well-known problem of message-passing rooted spanning
tree construction and its use in propagation of
information with feedback (PIF) for the case of a WSN.
The Chowkidar protocol is initiated upon demand; that
is, it does not involve ongoing maintenance, and it
terminates with accurate results, including detection
of failure and restart during the monitoring process.
Chowkidar is distinguished from others in two important
ways. Given the resource constraints of WSNs, it is
message-efficient in that it uses only a few messages
per node. Also, it tolerates ongoing node and link
failure and node restart, in contrast to requiring that
faults stop during convergence.\par
We have implemented the Chowkidar protocol as part of
enabling a network health status service that is
tightly integrated with a remotely accessible wireless
sensor network testbed, Kansei, at The Ohio State
University. We present experimental results from this
testbed that validate the correctness and performance
of Chowkidar. We also report on initial experiences and
lessons learnt from the integration of Chowkidar with
Kansei, including feedback from both testbed users and
administrators who have found Chowkidar to be a useful
tool for improving the accuracy and efficiency of
testbed experimentation and maintenance, and the need
for well-defined policies to address issues such as
minimizing interference with concurrently running
experiments. Finally, we discuss extensions that
enhance the functionality and usability of Chowkidar.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "health monitoring; PIF; protocol architecture;
stabilization; tree protocols; Wireless sensor
networks",
}
@Article{Biely:2009:OMD,
author = "Martin Biely and Josef Widder",
title = "Optimal message-driven implementations of omega with
mute processes",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "4:1--4:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462191",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We investigate the complexity of algorithms in
message-driven models. In such models, events in the
computation can only be caused by message receptions,
but not by the passage of time. Hutle and Widder
[2005a] have shown that there is no deterministic
message-driven self-stabilizing implementation of the
eventually strong failure detector and thus \Omega in
systems with uncertainty in message delays and channels
of unknown capacity using only bounded space. Under
stronger assumptions it was shown that even the
eventually perfect failure detector can be implemented
in message-driven systems consisting of at least {\em
f\/} + 2 processes ({\em f\/} being the upper bound on
the number of processes that crash during an
execution).\par
In this article we show that {\em f\/} + 2 is in fact a
lower bound in message-driven systems, even if
nonstabilizing algorithms are considered. This
contrasts time-driven models where {\em f\/} + 1 is
sufficient for failure detector
implementations.\par
Moreover, we investigate algorithms where not all
processes send message, that is, are active, but some
(in a predetermined set) remain passive. Here, we show
that the {\em f\/} + 2 processes required for
message-driven systems must be active, while in
time-driven systems it suffices that {\em f\/}
processes are active.\par
We also provide message-driven implementations of
\Omega . Our algorithms are efficient in the sense that
not all processes have to send messages forever, which
is an improvement to previous message-driven failure
detector implementations.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Fault tolerance; lower bound; message-driven
distributed algorithm; unreliable failure detectors",
}
@Article{Bonakdarpour:2009:CRR,
author = "Borzoo Bonakdarpour and Ali Ebnenasir and Sandeep S.
Kulkarni",
title = "Complexity results in revising {UNITY} programs",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "5:1--5:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462192",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We concentrate on automatic revision of untimed and
real-time programs with respect to UNITY properties.
The main focus of this article is to identify instances
where addition of UNITY properties can be achieved
efficiently (in polynomial time) and where the problem
of adding UNITY properties is difficult (NP-complete).
Regarding efficient revision, we present a sound and
complete algorithm that adds a single {\em leads-to\/}
property (respectively, {\em bounded-time leads-to\/}
property) and a conjunction of {\em unless, stable},
and {\em invariant\/} properties (respectively, {\em
bounded-time unless\/} and {\em stable\/}) to an
existing untimed (respectively, real-time) UNITY
program in polynomial-time in the state space
(respectively, region graph) of the given program.
Regarding hardness results, we show that (1) while one
{\em leads-to\/} (respectively, {\em ensures\/})
property can be added in polynomial-time, the problem
of adding two such properties (or any combination of
{\em leads-to\/} and {\em ensures\/}) is NP-complete,
(2) if maximum non-determinism is desired then the
problem of adding even a single {\em leads-to\/}
property is NP-complete, and (3) the problem of
providing maximum non-determinism while adding a single
{\em bounded-time leads-to\/} property to a real-time
program is NP-complete (in the size of the program's
region graph) even if the original program satisfies
the corresponding {\em unbounded leads-to\/}
property.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "formal methods; UNITY",
}
@Article{Cournier:2009:LES,
author = "Alain Cournier and Stephane Devismes and Vincent
Villain",
title = "Light enabling snap-stabilization of fundamental
protocols",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "6:1--6:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462193",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we show that some fundamental self-
and snap-stabilizing wave protocols (e.g., token
circulation, {\em PIF}, etc.) implicitly assume a very
light property that we call {\em BreakingIn}. We prove
that {\em BreakingIn\/} is strictly induced by self-
and snap-stabilization. Combined with a transformer,
{\em BreakingIn\/} allows to easily turn the
non-fault-tolerant versions of those protocols into
snap-stabilizing versions. Unlike the previous
solutions, the transformed protocols are very efficient
and work at least with the same daemon as the initial
versions extended to satisfy {\em BreakingIn}. Finally,
we show how to use an additional property of the
transformer to design snap-stabilizing extensions of
those fundamental protocols like Mutual Exclusion.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Self- and snap-stabilization; transformer; wave
protocols",
}
@Article{Danturi:2009:SSP,
author = "Praveen Danturi and Mikhail Nesterenko and
S{\'e}bastien Tixeuil",
title = "Self-stabilizing philosophers with generic conflicts",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "7:1--7:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462194",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We generalize the classic dining philosophers problem
to separate the conflict and communication neighbors of
each process. Communication neighbors may directly
exchange information while conflict neighbors compete
for the access to the exclusive critical section of
code. This generalization is motivated by a number of
practical problems in distributed systems including
problems in wireless sensor networks. We present a
self-stabilizing deterministic algorithm --- {\em
GDP\/} that solves this generalized problem. Our
algorithm is terminating. We formally prove {\em GDP\/}
correct and evaluate its performance. We extend the
algorithm to handle a similarly generalized drinking
philosophers and the committee coordination problem. We
describe how {\em GDP\/} can be implemented in wireless
sensor networks and demonstrate that this
implementation does not jeopardize its correctness or
termination properties.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "dining philosophers; self-stabilization",
}
@Article{Masuzawa:2009:BTK,
author = "Toshimitsu Masuzawa and S{\'e}bastien Tixeuil",
title = "On bootstrapping topology knowledge in anonymous
networks",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "8:1--8:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462195",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we quantify the amount of
``practical'' information (i.e., views obtained from
the neighbors, colors attributed to the nodes and
links) to obtain ``theoretical'' information (i.e., the
local topology of the network up to distance {\em k\/})
in anonymous networks. In more detail, we show that a
coloring at distance 2 {\em k\/} + 1 is necessary and
sufficient to obtain the local topology at distance
{\em k\/} that includes outgoing links. This bound
drops to 2 {\em k\/} when outgoing links are not
needed. A second contribution of this article deals
with color bootstrapping (from which local topology can
be obtained using the aforementioned mechanisms). On
the negative side, we show that ({\em i\/}) with a
distributed daemon, it is impossible to achieve
deterministic color bootstrap, even if the whole
network topology can be instantaneously obtained, and
({\em ii\/}) with a central daemon, it is impossible to
achieve distance {\em m\/} when instantaneous topology
knowledge is limited to {\em m\/} - 1. On the positive
side, we show that ({\em i\/}) under the {\em k\/}
-central daemon, deterministic self-stabilizing
bootstrap of colors up to distance {\em k\/} is
possible provided that {\em k\/} -local topology can be
instantaneously obtained, and ({\em ii\/}) under the
distributed daemon, probabilistic self-stabilizing
bootstrap is possible for any range.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "anonymous networks; daemon; stabilization; topology",
}
@Article{Souissi:2009:UEC,
author = "Samia Souissi and Xavier D{\'e}fago and Masafumi
Yamashita",
title = "Using eventually consistent compasses to gather
memory-less mobile robots with limited visibility",
journal = j-TAAS,
volume = "4",
number = "1",
pages = "9:1--9:??",
month = jan,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1462187.1462196",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Apr 24 17:35:49 MDT 2009",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Reaching agreement among a set of mobile robots is one
of the most fundamental issues in distributed robotic
systems. This problem is often illustrated by the
gathering problem, where the robots must self-organize
and meet at some location not determined in advance,
and without the help of some global coordinate system.
While very simple to express, this problem has the
advantage of retaining the inherent difficulty of
agreement, namely the question of breaking symmetry
between robots. In previous works, it has been proved
that the gathering problem is solvable in asynchronous
model with oblivious (i.e., memory-less) robots and
limited visibility, as long as the robots share the
knowledge of some direction, as provided by a compass.
However, the problem has no solution in the
semi-synchronous model when robots do not share a
compass, or when they cannot detect
multiplicity.\par
In this article, we define a model in which compasses
may be unreliable, and study the solvability of
gathering oblivious mobile robots with limited
visibility in the semi-synchronous model. In
particular, we give an algorithm that solves the
problem in finite time in a system where compasses are
unstable for some arbitrary long periods, provided that
they stabilize eventually. In addition, we show that
our algorithm solves the gathering problem for at most
three robots in the asynchronous model. Our algorithm
is intrinsically self-stabilizing.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "autonomous mobile robots; cooperation and control;
point formation; self-organizing robots;
self-stabilization; unreliable compasses",
}
@Article{Mansour:2009:IPC,
author = "Mohamed S. Mansour and Karsten Schwan and Sameh
Abdelaziz",
title = "Isolation points: Creating performance-robust
enterprise systems",
journal = j-TAAS,
volume = "4",
number = "2",
pages = "10:1--10:??",
month = may,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1516533.1516534",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:45:56 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article explores a performance isolation-based
approach to creating robust distributed applications.
For each application, the approach is to understand the
performance dependencies that pervade it and then
impose constraints on the possible `spread' of such
dependencies through the application. The mechanisms
used for this purpose, termed isolation points, are
software abstractions inserted at key program
locations: (1) in application interfaces, (2) in
middleware implementations for making remote requests,
and (3) in the system interfaces used by middleware and
applications. This article demonstrates the utility of
isolation points by using them to implement higher
level abstractions that improve the
performance-robustness of representative enterprise
applications. The I-Queue abstraction uses isolation
points to implement performance-robust messaging,
targeting the message queues used in distributed
enterprise codes. By appropriately orchestrating
message dispatching, I-Queue can achieve an improvement
of 16--32\% in dispatched message locality based on
traces obtained from the large-scale e-Pricing{\reg}
search engine operated by Worldspan L.P.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Autonomic computing; dynamic behavior; performance
isolation",
}
@Article{Araujo:2009:UMR,
author = "Ricardo M. Araujo and Luis C. Lamb",
title = "On the use of memory and resources in minority games",
journal = j-TAAS,
volume = "4",
number = "2",
pages = "11:1--11:??",
month = may,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1516533.1516535",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:45:56 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The use of resources in multiagent learning systems is
a relevant research problem, with a number of
applications in resource allocation, communication and
synchronization. Multiagent distributed resource
allocation requires that agents act on limited,
localized information with minimum communication
overhead in order to optimize the distribution of
available resources. When requirements and constraints
are dynamic, learning agents may be needed to allow for
adaptation. One way of accomplishing learning is to
observe past outcomes, using such information to
improve future decisions. When limits in agents' memory
or observation capabilities are assumed, one must
decide on how large should the observation window be.
We investigate how this decision influences both
agents' and system's performance in the context of a
special class of distributed resource allocation
problems, namely dispersion games. We show by using
several numerical experiments over a specific
dispersion game (the Minority Game) that in such
scenario an agent's performance is non-monotonically
correlated with her memory size when all other agents
are kept unchanged. We then provide an
information-theoretic explanation for the observed
behaviors, showing that a downward causation effect
takes place.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Dispersion games; mechanism design; multiagent
learning; multiagent systems",
}
@Article{Fujii:2009:SBC,
author = "Keita Fujii and Tatsuya Suda",
title = "Semantics-based context-aware dynamic service
composition",
journal = j-TAAS,
volume = "4",
number = "2",
pages = "12:1--12:??",
month = may,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1516533.1516536",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:45:56 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article presents a semantics-based context-aware
dynamic service composition framework that composes an
application through combining distributed components
based on the semantics of components and contexts of
users. The proposed framework consists of Component
Service Model with Semantics (CoSMoS), Component
Runtime Environment (CoRE), and Semantic Graph based
Service Composition (SeGSeC). CoSMoS models the
semantics of components and contexts of users. CoRE is
a middleware to support CoSMoS on various distributed
computing technologies. SeGSeC is a mechanism to
compose an application by synthesizing its workflow
based on the semantics of components and contexts of
users. The proposed framework is capable of composing
applications requested in a natural language by
leveraging the semantic information of components. The
proposed framework composes applications differently to
individual users based on their contexts and
preferences. The proposed framework acquires user
preferences from user-specified rules and also via
learning. The proposed framework also adapts to dynamic
environments by autonomously composing a new
application upon detecting context change. This article
describes the design and mechanism of the proposed
framework, and also presents simulation experiments to
evaluate the proposed framework.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "context-aware; Dynamic service composition; semantics;
service oriented framework",
}
@Article{Alyfantis:2009:EUL,
author = "George Alyfantis and Stathes Hadjiefthymiades and
Lazaros Merakos",
title = "Exploiting user location for load balancing {WLANs}
and improving wireless {QoS}",
journal = j-TAAS,
volume = "4",
number = "2",
pages = "13:1--13:??",
month = may,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1516533.1516537",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:45:56 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A ``Smart Spaces System'', called MITOS, for improved
user connectivity in large wireless LAN installations
is proposed. MITOS extends the scope of resource
management to the dynamic relocation of nomadic users:
the system suggests to a user the best location to move
to for obtaining a satisfactory quality of service
level, when the controlling access point of its current
location becomes congested. The system monitors the
traffic and user location across the network, and
formulates the appropriate relocation proposal urging
specific users to move to better locations at
reasonable distances. Two enhancements to the basic
MITOS system are introduced for maintaining an almost
uniform load level across the considered
infrastructure: the first uses microeconomic concepts,
while the second borrows game theoretic mechanisms from
the Santa Fe Bar problem. Simulation results on the
efficiency of the proposed schemes are provided.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Auctions; game theory; microeconomics; mobile
computing; pervasive computing; Sante Fe bar problem;
wireless communications",
}
@Article{Salehie:2009:SAS,
author = "Mazeiar Salehie and Ladan Tahvildari",
title = "Self-adaptive software: Landscape and research
challenges",
journal = j-TAAS,
volume = "4",
number = "2",
pages = "14:1--14:??",
month = may,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1516533.1516538",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:45:56 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Software systems dealing with distributed applications
in changing environments normally require human
supervision to continue operation in all conditions.
These (re-)configuring, troubleshooting, and in general
maintenance tasks lead to costly and time-consuming
procedures during the operating phase. These problems
are primarily due to the open-loop structure often
followed in software development. Therefore, there is a
high demand for management complexity reduction,
management automation, robustness, and achieving all of
the desired quality requirements within a reasonable
cost and time range during operation. Self-adaptive
software is a response to these demands; it is a
closed-loop system with a feedback loop aiming to
adjust itself to changes during its operation. These
changes may stem from the software system's {\em
self\/} (internal causes, e.g., failure) or {\em
context\/} (external events, e.g., increasing requests
from users). Such a system is required to {\em
monitor\/} itself and its context, {\em detect\/}
significant changes, {\em decide\/} how to react, and
{\em act\/} to execute such decisions. These processes
depend on adaptation properties (called self-*
properties), domain characteristics (context
information or models), and preferences of
stakeholders. Noting these requirements, it is widely
believed that new models and frameworks are needed to
design self-adaptive software. This survey article
presents a taxonomy, based on concerns of adaptation,
that is, {\em how}, {\em what}, {\em when\/} and {\em
where}, towards providing a unified view of this
emerging area. Moreover, as adaptive systems are
encountered in many disciplines, it is imperative to
learn from the theories and models developed in these
other areas. This survey article presents a landscape
of research in self-adaptive software by highlighting
relevant disciplines and some prominent research
projects. This landscape helps to identify the
underlying research gaps and elaborates on the
corresponding challenges.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Adaptation processes; research challenges;
self-adaptive software; self-properties; survey",
}
@Article{Lemmon:2009:ISI,
author = "Michael Lemmon and Christian Poellabauer and Liqiang
Zhang and Xiaobo Zhou",
title = "Introduction to the special issue on self-adaptive and
self-organizing wireless networking systems",
journal = j-TAAS,
volume = "4",
number = "3",
pages = "15:1--15:??",
month = jul,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1552297.1552298",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:16 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Fok:2009:AMA,
author = "Chien-Liang Fok and Gruia-Catalin Roman and Chenyang
Lu",
title = "{Agilla}: a mobile agent middleware for
self-adaptive wireless sensor networks",
journal = j-TAAS,
volume = "4",
number = "3",
pages = "16:1--16:??",
month = jul,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1552297.1552299",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:16 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article presents Agilla, a mobile agent
middleware designed to support self-adaptive
applications in wireless sensor networks. Agilla
provides a programming model in which applications
consist of evolving communities of agents that share a
wireless sensor network. Coordination among the agents
and access to physical resources are supported by a
tuple space abstraction. Agents can dynamically enter
and exit a network and can autonomously clone and
migrate themselves in response to environmental
changes. Agilla's ability to support self-adaptive
applications in wireless sensor networks has been
demonstrated in the context of several applications,
including fire detection and tracking, monitoring cargo
containers, and robot navigation. Agilla, the first
mobile agent system to operate in resource-constrained
wireless sensor platforms, was implemented on top of
TinyOS. Agilla's feasibility and efficiency was
demonstrated by experimental evaluation on two physical
testbeds consisting of Mica2 and TelosB nodes.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Agent; middleware; mobile agent; wireless sensor
network",
}
@Article{Gilbert:2009:SSR,
author = "Seth Gilbert and Nancy Lynch and Sayan Mitra and Tina
Nolte",
title = "Self-stabilizing robot formations over unreliable
networks",
journal = j-TAAS,
volume = "4",
number = "3",
pages = "17:1--17:??",
month = jul,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1552297.1552300",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:16 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We describe how a set of mobile robots can arrange
themselves on any specified curve on the plane in the
presence of dynamic changes both in the underlying ad
hoc network and in the set of participating robots. Our
strategy is for the mobile robots to implement a {\em
self-stabilizing virtual layer\/} consisting of mobile
client nodes, stationary Virtual Nodes (VNs), and local
broadcast communication. The VNs are associated with
predetermined regions in the plane and coordinate among
themselves to distribute the client nodes relatively
uniformly among the VNs' regions. Each VN directs its
local client nodes to align themselves on the local
portion of the target curve. The resulting motion
coordination protocol is self-stabilizing, in that each
robot can begin the execution in any arbitrary state
and at any arbitrary location in the plane. In
addition, self-stabilization ensures that the robots
can adapt to changes in the desired target formation.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "cooperative mobile robotics; distributed algorithms;
Formal methods; pattern formation; replicated state
machines; self-stabilization",
}
@Article{Zhang:2009:CSD,
author = "Hongwei Zhang and Lifeng Sang and Anish Arora",
title = "On the convergence and stability of data-driven link
estimation and routing in sensor networks",
journal = j-TAAS,
volume = "4",
number = "3",
pages = "18:1--18:??",
month = jul,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1552297.1552301",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:16 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The wireless network community has become increasingly
aware of the benefits of data-driven link estimation
and routing as compared with beacon-based approaches,
but the issue of {\em Biased Link Sampling\/} (BLS)
estimation has not been well studied even though it
affects routing convergence in the presence of network
and environment dynamics. Focusing on traffic-induced
dynamics, we examine the open, unexplored question of
how serious the BLS issue is and how to effectively
address it when the routing metric ETX is used. For a
wide range of traffic patterns and network topologies
and using both node-oriented and network-wide analysis
and experimentation, we discover that the optimal
routing structure remains quite stable even though the
properties of individual links and routes vary
significantly as traffic pattern changes. In cases
where the optimal routing structure does change,
data-driven link estimation and routing is either
guaranteed to converge to the optimal structure or
empirically shown to converge to a close-to-optimal
structure. These findings provide the foundation for
addressing the BLS issue in the presence of
traffic-induced dynamics and suggest approaches other
than existing ones. These findings also demonstrate
that it is possible to maintain an optimal, stable
routing structure despite the fact that the properties
of individual links and paths vary in response to
network dynamics.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "biased link sampling; convergence; data-driven link
estimation and routing; stability; Wireless sensor
networks",
}
@Article{Wang:2009:SOF,
author = "Yu Wang and Lijuan Cao and Teresa A. Dahlberg and Fan
Li and Xinghua Shi",
title = "Self-organizing fault-tolerant topology control in
large-scale three-dimensional wireless networks",
journal = j-TAAS,
volume = "4",
number = "3",
pages = "19:1--19:??",
month = jul,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1552297.1552302",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:16 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Topology control protocol aims to efficiently adjust
the network topology of wireless networks in a
self-adaptive fashion to improve the performance and
scalability of networks. This is especially essential
to large-scale multihop wireless networks (e.g.,
wireless sensor networks). Fault-tolerant topology
control has been studied recently. In order to achieve
both sparseness (i.e., the number of links is linear
with the number of nodes) and fault tolerance (i.e.,
can survive certain level of node/link failures),
different geometric topologies were proposed and used
as the underlying network topologies for wireless
networks. However, most of the existing topology
control algorithms can only be applied to
two-dimensional (2D) networks where all nodes are
distributed in a 2D plane. In practice, wireless
networks may be deployed in three-dimensional (3D)
space, such as under water wireless sensor networks in
ocean or mobile ad hoc networks among space shuttles in
space. This article seeks to investigate
self-organizing fault-tolerant topology control
protocols for large-scale 3D wireless networks. Our new
protocols not only guarantee {\em k\/} -connectivity of
the network, but also ensure the bounded node degree
and constant power stretch factor even under {\em k\/}
-1 node failures. All of our proposed protocols are
localized algorithms, which only use one-hop neighbor
information and constant messages with small time
complexity. Thus, it is easy to update the topology
efficiently and self-adaptively for large-scale dynamic
networks. Our simulation confirms our theoretical
proofs for all proposed 3D topologies.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "fault tolerance; power efficiency; Three-dimensional
wireless networks; topology control",
}
@Article{Vasilakos:2009:ESI,
author = "Athanasios V. Vasilakos and Witold Pedrycz",
title = "Editorial to the special issue",
journal = j-TAAS,
volume = "4",
number = "4",
pages = "20:1--20:??",
month = nov,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1636665.1636666",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:37 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Anastasopoulos:2009:AFR,
author = "Markos P. Anastasopoulos and Athanasios V. Vasilakos
and Panayotis G. Cottis",
title = "An autonomic framework for reliable multicast: a game
theoretical approach based on social psychology",
journal = j-TAAS,
volume = "4",
number = "4",
pages = "21:1--21:??",
month = nov,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1636665.1636667",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:37 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A major challenge in wireless terrestrial networks is
to provide large-scale reliable multicast and broadcast
services. The main problem limiting the scalability of
such networks is feedback implosion, a problem arising
when a large number of users transmit their feedback
messages through the network, occupying a significant
portion of system resources.\par
Inspired by social psychology, specifically from the
bystander effect phenomenon, an autonomic framework for
large-scale reliable multicast services is presented.
The self-configuring and self-optimizing procedures of
the proposed autonomic scheme are modeled using game
theory. Through appropriate modeling and simulations of
the proposed scheme carried out to evaluate its
performance, it is found that the new approach
suppresses feedback messages very effectively, while at
the same time, it does not degrade the timely data
transfer.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Autonomic communication; autonomic manager; bystander
effect; feedback suppression; game theory; Nash
equilibrium; reliable multicast; WiMax networks",
}
@Article{Lee:2009:IIA,
author = "Chonho Lee and Junichi Suzuki",
title = "An immunologically-inspired autonomic framework for
self-organizing and evolvable network applications",
journal = j-TAAS,
volume = "4",
number = "4",
pages = "22:1--22:??",
month = nov,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1636665.1636668",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:37 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Network applications are increasingly required to be
autonomous, scalable, adaptive to dynamic changes in
the network, and survivable against partial system
failures. Based on the observation that various
biological systems have already satisfied these
requirements, this article proposes and evaluates a
biologically-inspired framework that makes network
applications to be autonomous, scalable, adaptive, and
survivable. With the proposed framework, called iNet,
each network application is designed as a decentralized
group of software agents, analogous to a bee colony
(application) consisting of multiple bees (agents).
Each agent provides a particular functionality of a
network application, and implements biological
behaviors such as reproduction, migration, energy
exchange, and death. iNet is designed after the
mechanisms behind how the immune system detects
antigens (e.g., viruses) and produces specific
antibodies to eliminate them. It models a set of
environment conditions (e.g., network traffic and
resource availability) as an antigen and an agent
behavior (e.g., migration) as an antibody. iNet allows
each agent to autonomously sense its surrounding
environment conditions (an antigen) to evaluate whether
it adapts well to the sensed environment, and if it
does not, adaptively perform a behavior (an antibody)
suitable for the environment conditions. In iNet, a
configuration of antibodies is encoded as a set of
genes, and antibodies evolve via genetic operations
such as crossover and mutation. Empirical measurement
results show that iNet is lightweight enough.
Simulation results show that agents adapt to dynamic
and heterogeneous network environments by evolving
their antibodies across generations. The results also
show that iNet allows agents to scale to workload
volume and network size and to survive partial link
failures in the network.",
acknowledgement = ack-nhfb,
articleno = "22",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "artificial immune systems; Autonomic networking;
biologically-inspired networking; evolvable network
applications",
}
@Article{Xu:2009:MLD,
author = "Bo Xu and Ouri Wolfson and Channah Naiman",
title = "Machine learning in disruption-tolerant {MANETs}",
journal = j-TAAS,
volume = "4",
number = "4",
pages = "23:1--23:??",
month = nov,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1636665.1636669",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:37 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article we study the data dissemination
problem in which data items are flooded to all the
moving objects in a mobile ad hoc network by
peer-to-peer transfer. We show that if memory and
bandwidth are bounded at moving objects, then the
problem of determining whether a set of data items can
be disseminated to all the moving objects is
NP-complete. For a heuristic solution we postulate that
a moving object should save and transmit the data items
that are most likely to be new (i.e., previously
unknown) to future encountered moving objects. We
propose a method to be used by each moving object to
prioritize data items based on their probabilities of
being new to future receivers. The method employs a
machine learning system for estimation of the novelty
probability and the machine learning system is
progressively trained by received data items. Through
simulations based on real mobility traces, we show the
superiority of the method against some natural
alternatives.",
acknowledgement = ack-nhfb,
articleno = "23",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "mobile ad hoc networks; Mobile data management; mobile
peer-to-peer networks; publish/subscribe; resource
discovery",
}
@Article{Zhang:2009:MAA,
author = "Zonghua Zhang and Hong Shen",
title = "{M-AID}: An adaptive middleware built upon anomaly
detectors for intrusion detection and rational
response",
journal = j-TAAS,
volume = "4",
number = "4",
pages = "24:1--24:??",
month = nov,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1636665.1636670",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:37 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Anomaly-based intrusion detection is about the
discrimination of malicious and legitimate behaviors on
the basis of the characterization of system normality
in terms of particular observable subjects. As the
system normality is constructed solely from an observed
sample of normally occurring patterns, anomaly
detectors always suffer excessive false alerts.
Adaptability is therefore a desirable feature that
enables an anomaly detector to alleviate, if not
eliminate, such annoyance. To achieve that, we either
design self-learning anomaly detectors to capture the
drifts of system normality or develop postprocessing
mechanisms to deal with the outputs. As the former
methodology is usually scenario- and
application-specific, in this article, we focus on the
latter one. In particular, our design starts from three
key observations: (1) most of anomaly detectors are
threshold based and parametric, that is, configurable
by a set of parameters; (2) anomaly detectors differ in
operational environment and operational capability in
terms of detection coverage and blind spots; (3) an
intrusive anomaly may leave traces across multiple
system layers, incurring different observable events of
interest. Firstly, we present a statistical framework
to formally characterize and analyze the basic
behaviors of anomaly detectors by examining the
properties of their operational environments. The
framework then serves as a theoretical basis for
developing an adaptive middleware, which is called
M-AID, to optimally integrate a number of
observation-specific parameterizable anomaly detectors.
Specifically, M-AID treats these fine-grained anomaly
detectors as a whole and casts their collective
behaviors in a framework which is formulated as a
Multiagent Partially Observable Markov Decision Process
(MPO-MDP). The generic anomaly detection models of
M-AID are thus automatically inferred via a
reinforcement learning algorithm which dynamically
adjusts the behaviors of anomaly detectors in
accordance with a reward signal that is defined and
quantified by a suit of evaluation metrics.
Fundamentally, the distributed and autonomous
architecture enables M-AID to be scalable, dependable,
and adaptable, and the reward signal allows security
administrators to specify cost factors and take into
account the operational context for taking rational
response. Finally, a host-based prototype of M-AID is
developed, along with comprehensive experimental
evaluation and comparative studies.",
acknowledgement = ack-nhfb,
articleno = "24",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Anomaly detection; intrusion detection; network
security; POMDP; security metrics; security policy",
}
@Article{Anonymous:2009:TR,
author = "Anonymous",
title = "{TAAS} reviewers 2009",
journal = j-TAAS,
volume = "4",
number = "4",
pages = "25:1--25:??",
month = nov,
year = "2009",
CODEN = "????",
DOI = "https://doi.org/10.1145/1636665.1636671",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:37 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "25",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wang:2010:PSO,
author = "Yu-Xuan Wang and Qiao-Liang Xiang and Zhen-Dong
Zhao",
title = "Particle swarm optimizer with adaptive tabu and
mutation: a unified framework for efficient mutation
operators",
journal = j-TAAS,
volume = "5",
number = "1",
pages = "1:1--1:??",
month = feb,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1671948.1671949",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:54 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Evolutionary Algorithms (EAs) and Swarm Intelligence
(SI) are widely used to tackle black-box global
optimization problems when no prior knowledge is
available. In order to increase search diversity and
avoid stagnation in local optima, the mutation operator
was introduced and has been extensively studied in EAs
and SI-based algorithms. However, the performance after
introducing mutation can be affected in many aspects
and the parameters used to perform mutations are very
hard to determine. For the purpose of developing
efficient mutation operators, this article proposes a
unified tabu and mutation framework with parameter
adaptations in the context of the Particle Swarm
Optimizer (PSO). The proposed framework is a
significant extension of our preliminary work [Wang et
al. 2007]. Empirical studies on 25 benchmark functions
indicate that under the proposed framework: (1)
excellent performance can be achieved even with a small
number of mutations; (2) the derived algorithm
consistently performs well on diverse types of problems
and overall performance even surpasses the
state-of-the-art PSO variants and representative
mutation-based EAs; and (3) fast convergence rates can
be preserved despite the use of a long jump mutation
operator (the Cauchy mutation).",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "evolutionary algorithm; Global optimization; mutation
operator; parameter adaptation; swarm intelligence",
}
@Article{Girdzijauskas:2010:SOH,
author = "{\v{S}}ar{\=u}nas Girdzijauskas and Anwitaman Datta
and Karl Aberer",
title = "Structured overlay for heterogeneous environments:
Design and evaluation of {Oscar}",
journal = j-TAAS,
volume = "5",
number = "1",
pages = "2:1--2:??",
month = feb,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1671948.1671950",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:54 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Recent years have seen advances in building large
Internet-scale index structures, generally known as
{\em structured overlays}. Early structured overlays
realized distributed hash tables (DHTs) which are ill
suited for anything but exact queries. The need to
support range queries necessitates systems that can
handle uneven load distributions. However such systems
suffer from practical problems --- including poor
latency, disproportionate bandwidth usage at
participating peers, or unrealistic assumptions on
peers' homogeneity, in terms of available storage or
bandwidth resources. In this article we consider a
system that is not only able to support uneven load
distributions but also to operate in heterogeneous
environments, where each peer can autonomously decide
how much of its resources to contribute to the system.
We provide the theoretical foundations of realizing
such a network and present a newly proposed system
Oscar based on these principles. Oscar can construct
efficient overlays given arbitrary load distributions
by employing a novel scalable network sampling
technique. The simulations of our system validate the
theory and evaluate Oscar's performance under typical
challenges, encountered in real-life large-scale
networked systems, including participant heterogeneity,
faults, and skewed and dynamic load-distributions. Thus
the Oscar distributed index fills in an important gap
in the family of structured overlays, bringing into
life a practical Internet-scale index, which can play a
crucial role in enabling data-oriented applications
distributed over wide-area networks.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Peer-to-peer systems; routing; skewed key
distributions; small-world graphs; structured
overlays",
}
@Article{Weyns:2010:MMC,
author = "Danny Weyns and Robrecht Haesevoets and Alexander
Helleboogh and Tom Holvoet and Wouter Joosen",
title = "The {MACODO} middleware for context-driven dynamic
agent organizations",
journal = j-TAAS,
volume = "5",
number = "1",
pages = "3:1--3:??",
month = feb,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1671948.1671951",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:54 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "One of the major challenges in engineering distributed
multiagent systems is the coordination necessary to
align the behavior of different agents.
Decentralization of control implies a style of
coordination in which the agents cooperate as peers
with respect to each other and no agent has global
control over the system, or global knowledge about the
system. The dynamic interactions and collaborations
among agents are usually structured and managed by
means of roles and organizations. In existing
approaches agents typically have a dual responsibility:
on the one hand playing roles within the organization,
on the other hand managing the life-cycle of the
organization itself, for example, setting up the
organization and managing organization dynamics.
Engineering realistic multiagent systems in which
agents encapsulate this dual responsibility is a
complex task.\par
In this article, we present a middleware for
context-driven dynamic agent organizations. The
middleware is part of an integrated approach, called
MACODO: Middleware Architecture for COntext-driven
Dynamic agent Organizations. The complementary part of
the MACODO approach is an organization model that
defines abstractions to support application developers
in describing dynamic organizations, as described in
Weyns et al. [2010].\par
The MACODO middleware offers the life-cycle management
of dynamic organizations as a reusable service
separated from the agents, which makes it easier to
understand, design, and manage dynamic organizations in
multiagent systems. We give a detailed description of
the software architecture of the MADOCO middleware. The
software architecture describes the essential building
blocks of a distributed middleware platform that
supports the MACODO organization model. We used the
middleware architecture to develop a prototype
middleware platform for a traffic monitoring
application. We evaluate the MACODO middleware
architecture by assessing the adaptability,
scalability, and robustness of the prototype
platform.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Context; middleware; organization; role; software
architecture",
}
@Article{Allen:2010:CTS,
author = "Stuart M. Allen and Gualtiero Colombo and Roger M.
Whitaker",
title = "Cooperation through self-similar social networks",
journal = j-TAAS,
volume = "5",
number = "1",
pages = "4:1--4:??",
month = feb,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1671948.1671952",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Mar 16 18:46:54 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We address the problem of cooperation in decentralized
systems, specifically looking at interactions between
independent pairs of peers where mutual exchange of
resources (e.g., updating or sharing content) is
required. In the absence of any enforcement mechanism
or protocol, there is no incentive for one party to
directly reciprocate during a transaction with another.
Consequently, for such decentralized systems to
function, protocols for self-organization need to
explicitly promote cooperation in a manner where
adherence to the protocol is incentivized.\par
In this article we introduce a new generic model to
achieve this. The model is based on peers repeatedly
interacting to build up and maintain a dynamic social
network of others that they can trust based on
similarity of cooperation. This mechanism effectively
incentivizes unselfish behavior, where peers with
higher levels of cooperation gain higher payoff. We
examine the model's behavior and robustness in detail.
This includes the effect of peers self-adapting their
cooperation level in response to maximizing their
payoff, representing a Nash-equilibrium of the system.
The study shows that the formation of a social network
based on reflexive cooperation levels can be a highly
effective and robust incentive mechanism for autonomous
decentralized systems.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Cooperation; decentralized systems;
self-organization",
}
@Article{Loia:2010:ESI,
author = "Vincenzo Loia and Athanasios V. Vasilakos",
title = "Editorial: Special issue on ambient intelligence",
journal = j-TAAS,
volume = "5",
number = "2",
pages = "5:1--5:??",
month = may,
year = "2010",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Sat Aug 14 15:39:17 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Herrmann:2010:SOS,
author = "Klaus Herrmann",
title = "Self-organized service placement in ambient
intelligence environments",
journal = j-TAAS,
volume = "5",
number = "2",
pages = "6:1--6:??",
month = may,
year = "2010",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Sat Aug 14 15:39:17 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Duman:2010:MSB,
author = "Hakan Duman and Hani Hagras and Victor Callaghan",
title = "A multi-society-based intelligent association
discovery and selection for ambient intelligence
environments",
journal = j-TAAS,
volume = "5",
number = "2",
pages = "7:1--7:??",
month = may,
year = "2010",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Sat Aug 14 15:39:17 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Acampora:2010:IAF,
author = "Giovanni Acampora and Matteo Gaeta and Vincenzo Loia
and Athanasios V. Vasilakos",
title = "Interoperable and adaptive fuzzy services for ambient
intelligence applications",
journal = j-TAAS,
volume = "5",
number = "2",
pages = "8:1--8:??",
month = may,
year = "2010",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Sat Aug 14 15:39:17 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wurtz:2010:ESI,
author = "Rolf P. W{\"u}rtz and Kirstie L. Bellman and Hartmut
Schmeck and Christian Igel",
title = "Editorial: Special issue on organic computing",
journal = j-TAAS,
volume = "5",
number = "3",
pages = "9:1--9:??",
month = sep,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1837909.1837910",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Oct 8 18:23:39 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Schmeck:2010:ASO,
author = "Hartmut Schmeck and Christian M{\"u}ller-Schloer and
Emre {\c{C}}akar and Moez Mnif and Urban Richter",
title = "Adaptivity and self-organization in organic computing
systems",
journal = j-TAAS,
volume = "5",
number = "3",
pages = "10:1--10:??",
month = sep,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1837909.1837911",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Oct 8 18:23:39 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Organic Computing (OC) and other research initiatives
like Autonomic Computing or Proactive Computing have
developed the vision of systems possessing life-like
properties: they self-organize, adapt to their
dynamically changing environments, and establish other
so-called self-x properties, like self-healing,
self-configuration, self-optimization, etc. What we are
searching for in OC are methodologies and concepts for
systems that allow to cope with increasingly complex
networked application systems by introduction of self-x
properties and at the same time guarantee a trustworthy
and adaptive response to externally provided system
objectives and control actions. Therefore, in OC, we
talk about {\em controlled
self-organization}.\par
Although the terms {\em self-organization\/} and {\em
adaptivity\/} have been discussed for years, we miss a
clear definition of self-organization in most
publications, which have a technically motivated
background.\par
In this article, we briefly summarize the state of the
art and suggest a characterization of (controlled)
self-organization and adaptivity that is motivated by
the main objectives of the OC initiative. We present a
system classification of robust, adaptable, and
adaptive systems and define a degree of autonomy to be
able to quantify how autonomously a system is working.
The degree of autonomy distinguishes and measures
external control that is exerted directly by the user
({\em no autonomy\/}) from internal control of a system
which might be fully controlled by an
observer/controller architecture that is part of the
system ({\em full autonomy\/}). The quantitative degree
of autonomy provides the basis for characterizing the
notion of controlled self-organization. Furthermore, we
discuss several alternatives for the design of organic
systems.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Adaptation; adaptivity; observer/controller
architecture; organic computing; robustness;
self-organization; system classification",
}
@Article{Fekete:2010:EWC,
author = "S{\'a}ndor P. Fekete and Christiane Schmidt and Axel
Wegener and Horst Hellbr{\"u}ck and Stefan Fischer",
title = "Empowered by wireless communication: Distributed
methods for self-organizing traffic collectives",
journal = j-TAAS,
volume = "5",
number = "3",
pages = "11:1--11:??",
month = sep,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1837909.1837912",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Oct 8 18:23:39 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In recent years, tremendous progress has been made in
understanding the dynamics of vehicle traffic flow and
traffic congestion by interpreting traffic as a
multiparticle system. This helps to explain the onset
and persistence of many undesired phenomena, for
example, traffic jams. It also reflects the apparent
helplessness of drivers in traffic, who feel like
passive particles that are pushed around by exterior
forces; one of the crucial aspects is the inability to
communicate and coordinate with other traffic
participants.\par
We present distributed methods for solving these
fundamental problems, employing modern wireless,
ad-hoc, multi-hop networks. The underlying idea is to
use these capabilities as the basis for self-organizing
methods for coordinating data collection and
processing, recognizing traffic phenomena, and changing
their structure by coordinated behavior. The overall
objective is a multi-level approach that reaches from
protocols for local wireless communication, data
dissemination, pattern recognition, over hierarchical
structuring and coordinated behavior, all the way to
large-scale traffic regulation.\par
In this article, we describe three types of results:
(i) self-organizing and distributed methods for
maintaining and collecting data (using our concept of
{\em Hovering Data Clouds\/}); (ii) adaptive data
dissemination for traffic information systems; (iii)
methods for self-recognition of traffic jams. We
conclude by describing higher-level aspects of our
work.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Hovering Data Clouds; Organic computing; Organic
Information Complexes; pattern recognition;
self-organizing systems; traffic; traffic jams",
}
@Article{Grushin:2010:PRG,
author = "Alexander Grushin and James A. Reggia",
title = "Parsimonious rule generation for a nature-inspired
approach to self-assembly",
journal = j-TAAS,
volume = "5",
number = "3",
pages = "12:1--12:??",
month = sep,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1837909.1837913",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Oct 8 18:23:39 MDT 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Most construction of artificial, multicomponent
structures is based upon an external entity that
directs the assembly process, usually following a
script/blueprint under centralized control. In
contrast, recent research has focused increasingly on
an alternative paradigm, inspired largely by the nest
building behavior of social insects, in which
components ``self-assemble'' into a given target
structure. Adapting such a nature-inspired approach to
precisely self-assemble artificial structures (bridge,
building, etc.) presents a formidable challenge: one
must create a set of local control rules to direct the
behavior of the individual components/agents during the
self-assembly process. In recent work, we developed a
fully automated procedure that generates such rules,
allowing a given structure to successfully
self-assemble in a simulated environment having
constrained, continuous motion; however, the resulting
rule sets were typically quite large. In this article,
we present a more effective methodology for automatic
rule generation, which makes an attempt to
parsimoniously capture both the repeating patterns that
exist within a structure, and the behaviors necessary
for appropriate coordination. We then empirically show
that the procedure developed here generates sets of
rules that are not only correct, but significantly
reduced in size, relative to our earlier approach. Such
rule sets allow for simpler agents that are nonetheless
still capable of performing complex tasks, and
therefore demonstrate the problem-solving potential of
self-organized systems.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
keywords = "Coordination; parsimony; self-assembly;
self-organization; stigmergy; swarm intelligence",
}
@Article{Marin-Perianu:2010:AVC,
author = "Mihai Marin-Perianu and Stephan Bosch and Raluca
Marin-Perianu and Hans Scholten and Paul Havinga",
title = "Autonomous vehicle coordination with wireless sensor
and actuator networks",
journal = j-TAAS,
volume = "5",
number = "4",
pages = "13:1--13:??",
month = nov,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1867713.1867714",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Nov 23 11:15:24 MST 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wang:2010:EBT,
author = "Yonghong Wang and Munindar P. Singh",
title = "Evidence-based trust: a mathematical model geared
for multiagent systems",
journal = j-TAAS,
volume = "5",
number = "4",
pages = "14:1--14:??",
month = nov,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1867713.1867715",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Nov 23 11:15:24 MST 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Chen:2010:SOM,
author = "Gang Chen and Abdolhossein Sarrafzadeh and Chor Ping
Low and Liang Zhang",
title = "A self-organization mechanism based on cross-entropy
method for {P2P}-like applications",
journal = j-TAAS,
volume = "5",
number = "4",
pages = "15:1--15:??",
month = nov,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1867713.1867716",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Nov 23 11:15:24 MST 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Weyns:2010:MOM,
author = "Danny Weyns and Robrecht Haesevoets and Alexander
Helleboogh",
title = "The {MACODO} organization model for context-driven
dynamic agent organizations",
journal = j-TAAS,
volume = "5",
number = "4",
pages = "16:1--16:??",
month = nov,
year = "2010",
CODEN = "????",
DOI = "https://doi.org/10.1145/1867713.1867717",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Tue Nov 23 11:15:24 MST 2010",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bakhouya:2011:SIA,
author = "Mohamed Bakhouya",
title = "Special Issue: Adaptive Service Discovery and
Composition in Ubiquitous and Pervasive Computing",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "1:1--1:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921642",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Chen:2011:DIA,
author = "Shyr-Kuen Chen and Pi-Chung Wang",
title = "Design and Implementation of an Anycast Services
Discovery in Mobile Ad Hoc Networks",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "2:1--2:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921643",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Duan:2011:NSD,
author = "Qiang Duan",
title = "Network Service Description and Discovery for
High-Performance Ubiquitous and Pervasive Grids",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "3:1--3:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921644",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mukhtar:2011:DUT,
author = "Hamid Mukhtar and Djamel Bela{\"\i}d and Guy
Bernard",
title = "Dynamic User Task Composition Based on User
Preferences",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "4:1--4:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921645",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Hang:2011:TSS,
author = "Chung-Wei Hang and Munindar P. Singh",
title = "Trustworthy Service Selection and Composition",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "5:1--5:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921646",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Flores:2011:SMF,
author = "Carlos Flores and Paul Grace and Gordon S. Blair",
title = "{SeDiM}: a Middleware Framework for Interoperable
Service Discovery in Heterogeneous Networks",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "6:1--6:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921647",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Al-Oqily:2011:DSO,
author = "Ibrahim Al-Oqily and Ahmed Karmouch",
title = "A Decentralized Self-Organizing Service Composition
for Autonomic Entities",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "7:1--7:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921648",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bourcier:2011:AAM,
author = "Johann Bourcier and Ada Diaconescu and Philippe
Lalanda and Julie A. McCann",
title = "{AutoHome}: An Autonomic Management Framework for
Pervasive Home Applications",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "8:1--8:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921649",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Coronato:2011:FSV,
author = "Antonio Coronato and Giuseppe {De Pietro}",
title = "Formal Specification and Verification of Ubiquitous
and Pervasive Systems",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "9:1--9:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921650",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Gaber:2011:ASA,
author = "Jaafar Gaber",
title = "Action Selection Algorithms for Autonomous System in
Pervasive Environment: a Computational Approach",
journal = j-TAAS,
volume = "6",
number = "1",
pages = "10:1--10:??",
month = feb,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1921641.1921651",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Mon Mar 28 11:33:10 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Beal:2011:SCD,
author = "Jacob Beal and Olivier Michel and Ulrik Pagh
Schultz",
title = "Spatial Computing: Distributed Systems That Take
Advantage of Our Geometric World",
journal = j-TAAS,
volume = "6",
number = "2",
pages = "11:1--11:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1968513.1968514",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Jul 22 08:44:20 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Maignan:2011:GGA,
author = "Luidnel Maignan and Fr{\'e}d{\'e}ric Gruau",
title = "{Gabriel} Graphs in Arbitrary Metric Space and their
Cellular Automaton for Many Grids",
journal = j-TAAS,
volume = "6",
number = "2",
pages = "12:1--12:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1968513.1968515",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Jul 22 08:44:20 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{DeRosa:2011:DLD,
author = "Michael {De Rosa} and Seth Copen Goldstein and Peter
Lee and Jason Campbell and Padmanabhan S. Pillai",
title = "Detecting Locally Distributed Predicates",
journal = j-TAAS,
volume = "6",
number = "2",
pages = "13:1--13:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1968513.1968516",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Jul 22 08:44:20 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Viroli:2011:SCP,
author = "Mirko Viroli and Matteo Casadei and Sara Montagna and
Franco Zambonelli",
title = "Spatial Coordination of Pervasive Services through
Chemical-Inspired Tuple Spaces",
journal = j-TAAS,
volume = "6",
number = "2",
pages = "14:1--14:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1968513.1968517",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Jul 22 08:44:20 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Fernandez-Marquez:2011:ISS,
author = "Jose Luis Fernandez-Marquez and Giovanna Di Marzo
Serugendo and Josep Lluis Arcos",
title = "Infrastructureless Spatial Storage Algorithms",
journal = j-TAAS,
volume = "6",
number = "2",
pages = "15:1--15:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1968513.1968518",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Jul 22 08:44:20 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mamei:2011:MPS,
author = "Marco Mamei",
title = "Macro Programming a Spatial Computer with {Bayesian}
Networks",
journal = j-TAAS,
volume = "6",
number = "2",
pages = "16:1--16:??",
month = jun,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/1968513.1968519",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
bibdate = "Fri Jul 22 08:44:20 MDT 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Delorimier:2011:SHI,
author = "Michael Delorimier and Nachiket Kapre and Nikil Mehta
and Andr{\'e} Dehon",
title = "Spatial hardware implementation for sparse graph
algorithms in {GraphStep}",
journal = j-TAAS,
volume = "6",
number = "3",
pages = "17:1--17:??",
month = sep,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019583.2019584",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:58 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{White:2011:SSD,
author = "Jules White and Brian Dougherty and Chris Thompson and
Douglas C. Schmidt",
title = "{ScatterD}: Spatial deployment optimization with
hybrid heuristic\slash evolutionary algorithms",
journal = j-TAAS,
volume = "6",
number = "3",
pages = "18:1--18:??",
month = sep,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019583.2019585",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:58 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Pei:2011:SOS,
author = "Guanhong Pei and Binoy Ravindran and E. Douglas
Jensen",
title = "Self-organizing and self-reconfigurable event routing
in ad hoc networks with causal dependency awareness",
journal = j-TAAS,
volume = "6",
number = "3",
pages = "19:1--19:??",
month = sep,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019583.2019586",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:58 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Tacconi:2011:CES,
author = "David Tacconi and Daniele Miorandi and Iacopo Carreras
and Francesco De Pellegrini and Imrich Chlamtac",
title = "Cooperative evolution of services in ubiquitous
computing environments",
journal = j-TAAS,
volume = "6",
number = "3",
pages = "20:1--20:??",
month = sep,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019583.2019587",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:58 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Phithakkitnukoon:2011:BBA,
author = "Santi Phithakkitnukoon and Ram Dantu and Rob Claxton
and Nathan Eagle",
title = "Behavior-based adaptive call predictor",
journal = j-TAAS,
volume = "6",
number = "3",
pages = "21:1--21:??",
month = sep,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019583.2019588",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:58 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Xiong:2011:APA,
author = "Naixue Xiong and Athanasios V. Vasilakos and Laurence
T. Yang and Ekram Hossain",
title = "An adaptive and predictive approach for autonomic
multirate multicast networks",
journal = j-TAAS,
volume = "6",
number = "3",
pages = "22:1--22:??",
month = sep,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019583.2019589",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:58 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "22",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bonnet:2011:PAO,
author = "Fran{\c{c}}ois Bonnet and Michel Raynal",
title = "The Price of Anonymity: Optimal Consensus Despite
Asynchrony, Crash, and Anonymity",
journal = j-TAAS,
volume = "6",
number = "4",
pages = "23:1--23:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019591.2019592",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:59 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "23",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Vu:2011:EUC,
author = "Le-Hung Vu and Karl Aberer",
title = "Effective Usage of Computational Trust Models in
Rational Environments",
journal = j-TAAS,
volume = "6",
number = "4",
pages = "24:1--24:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019591.2019593",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:59 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "24",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Misra:2011:BFI,
author = "Sudip Misra and Gopidi Rajesh",
title = "Bird Flight-Inspired Routing Protocol for Mobile Ad
Hoc Networks",
journal = j-TAAS,
volume = "6",
number = "4",
pages = "25:1--25:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019591.2019594",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:59 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "25",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Xiao:2011:PIC,
author = "Yang Xiao and Yanping Zhang and Xiannuan Liang",
title = "Primate-Inspired Communication Methods for Mobile and
Static Sensors and {RFID} Tags",
journal = j-TAAS,
volume = "6",
number = "4",
pages = "26:1--26:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019591.2019595",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:59 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "26",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Jelasity:2011:SSM,
author = "M{\'a}rk Jelasity and Vilmos Bilicki",
title = "Scalable Stealth Mode {P2P} Overlays of Very Small
Constant Degree",
journal = j-TAAS,
volume = "6",
number = "4",
pages = "27:1--27:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019591.2019596",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:59 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "27",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bouchenak:2011:ASS,
author = "Sara Bouchenak and Fabienne Boyer and Benoit Claudel
and Noel De Palma and Olivier Gruber and Sylvain Sicard",
title = "From Autonomic to Self-Self Behaviors: The {JADE}
Experience",
journal = j-TAAS,
volume = "6",
number = "4",
pages = "28:1--28:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019591.2019597",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:59 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "28",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Parashar:2011:E,
author = "Manish Parashar and Franco Zambonelli",
title = "Editorial",
journal = j-TAAS,
volume = "6",
number = "4",
pages = "29:1--29:??",
month = oct,
year = "2011",
CODEN = "????",
DOI = "https://doi.org/10.1145/2019591.2019598",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sun Nov 6 06:17:59 MST 2011",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "29",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kota:2012:DAS,
author = "Ramachandra Kota and Nicholas Gibbins and Nicholas R.
Jennings",
title = "Decentralized approaches for self-adaptation in agent
organizations",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "1:1--1:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168261",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-organizing multi-agent systems provide a suitable
paradigm for developing autonomic computing systems
that manage themselves. Towards this goal, we
demonstrate a robust, decentralized approach for
structural adaptation in explicitly modeled problem
solving agent organizations. Based on self-organization
principles, our method enables the autonomous agents to
modify their structural relations to achieve a better
allocation of tasks in a simulated task-solving
environment. Specifically, the agents reason about when
and how to adapt using only their history of
interactions as guidance. We empirically show that, in
a wide range of closed, open, static, and dynamic
scenarios, the performance of organizations using our
method is close (70-90\%) to that of an idealized
centralized allocation method and is considerably
better (10-60\%) than the current state-of-the-art
decentralized approaches.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bicocchi:2012:SOV,
author = "Nicola Bicocchi and Marco Mamei and Franco
Zambonelli",
title = "Self-organizing virtual macro sensors",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "2:1--2:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168262",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The future large-scale deployment of pervasive sensor
network infrastructures calls for mechanisms enabling
the extraction of general-purpose data at limited
energy costs. The approach presented in this article
relies on a simple algorithm to let a sensor network
self-organize a virtual partitioning in correspondence
to spatial regions characterized by similar sensing
patterns, and to let distributed aggregation of
sensorial data take place on a per-region basis. The
result of this process is that a sensor network can be
modeled as a collection of virtual macro sensors, each
associated to a well-characterized region of the
physical environment. Within each region, each physical
sensor has the local availability of aggregated data
about its region and is able to act as an access point
to such data. This feature promises to be very suitable
for a number of emerging usage scenarios. Our approach
is described and evaluated in both a simulation
environment and a real test bed, and quantitatively
compared with related works in the area. Current
limitations and areas of future development are also
discussed.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Dashti:2012:EOF,
author = "Mohammad Torabi Dashti",
title = "Efficiency of optimistic fair exchange using trusted
devices",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "3:1--3:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168263",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Efficiency of asynchronous optimistic fair exchange
using trusted devices is studied. It is shown that
three messages in the optimistic subprotocol are
sufficient and necessary for exchanging idempotent
items. When exchanging nonidempotent items, however,
three messages in the optimistic subprotocol are
sufficient only under the assumption that trusted
devices have unbounded storage capacity. This
assumption is often not satisfiable in practice. It is
then proved that exchanging nonidempotent items using
trusted devices with a bounded storage capacity
requires exactly four messages in the optimistic
subprotocol.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Saffre:2012:HST,
author = "Fabrice Saffre and Aistis Simaitis",
title = "Host selection through collective decision",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "4:1--4:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168264",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we present a collective
decision-making framework inspired by biological swarms
and capable of supporting the emergence of a consensus
within a population of agents in the absence of
environment-mediated communication (stigmergy).
Instead, amplification is the result of the variation
of a confidence index, stored in individual memory and
providing each agent with a statistical estimate of the
current popularity of its preferred choice within the
whole population. We explore the fundamental properties
of our framework using a combination of analytical and
numerical methods. We then use Monte Carlo simulation
to investigate its applicability to host selection in
the presence of multiple alternatives, a problem found
in application migration scenarios. The advantages of
self-organization and the use of statistically
predictive methods in this context are also
discussed.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Gounaris:2012:ELB,
author = "Anastasios Gounaris and Christos A. Yfoulis and Norman
W. Paton",
title = "Efficient load balancing in partitioned queries under
random perturbations",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "5:1--5:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168265",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This work investigates a particular instance of the
problem of designing efficient adaptive systems, under
the condition that each adaptation decision incurs some
nonnegligible cost when enacted. More specifically, we
deal with the problem of dynamic, intraquery load
balancing in parallel database queries across
heterogeneous nodes in a way that takes into account
the inherent cost of adaptations and thus avoids both
overreacting and deciding when to adapt in a completely
heuristic manner. The latter may lead to serious
performance degradation in several cases, such as
periodic and random imbalances. We follow a control
theoretical approach to this problem; more
specifically, we propose a multiple-input
multiple-output feedback linear quadratic regulation
(LQR) controller, which captures the tradeoff between
reaching a balanced state and the cost inherent in such
adaptations. Our approach, apart from benefitting from
and being characterized by a solid theoretical
foundation, exhibits better performance than
state-of-the-art heuristics in realistic situations, as
verified by thorough evaluation.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bakhouya:2012:ISS,
author = "Mohamed Bakhouya and Roy Campbell and Antonio Coronato
and Giuseppe de Pietro and Anand Ranganathan",
title = "Introduction to special section on formal methods in
pervasive computing",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "6:1--6:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168266",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Ubiquitous and pervasive applications may present
critical requirements from the point of view of
functional correctness, reliability, availability,
security, and safety. Unlike traditional
safety-critical applications, the behavior of
ubiquitous and pervasive applications is affected by
the movements and location of users and resources. In
this article, we first present emerging formal methods
for the description of both entities and their behavior
in pervasive computing environments; then, we introduce
this special issue. Despite many previous works that
have focused on modeling the entities, relatively few
have concentrated on modeling or verifying behaviors;
and almost none has dealt with combining techniques
proposed in these two aspects. The articles accepted in
this special issue cover some of the topics
aforementioned and constitute a representative sample
of the latest development of formal methods in
pervasive computing environments.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Popescu:2012:FTD,
author = "Razvan Popescu and Athanasios Staikopoulos and Antonio
Brogi and Peng Liu and Siobh{\'a}n Clarke",
title = "A formalized, taxonomy-driven approach to cross-layer
application adaptation",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "7:1--7:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168267",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Advances in pervasive technology have made it possible
to consider large-scale application types that
potentially span heterogeneous organizations,
technologies, and device types. This class of
application will have a multilayer architecture, where
each layer is likely to use languages and technologies
appropriate to its own concerns. An example application
is a geographically large-scale crisis management
system. Typically, such applications are required to
dynamically adapt their behavior based on current
circumstances, with adaptations potentially affecting
all layers of the application. The complexities
involved in dynamically adapting multilayer
applications will significantly benefit from formal
approaches to its specification. This article presents
a new methodology for flexible, multilayer application
adaptation, with layer-specific adaptation solution
templates bound to application mismatches that are
organized into hierarchical taxonomies. Templates can
be linked either through direct invocations or through
adaptation events, supporting flexible cross-layer
adaptation. The methodology illustrates the use of
different formalisms for different elements of its
specification. In particular, we combine semiformal
metamodeling techniques for the system model
specification with formal Petri nets, which are used to
capture template matchmaking using reachability
analysis. This work demonstrates how existing
formalisms can be used for the specification of a
generic adaptation model for pervasive applications.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Weyns:2012:FUR,
author = "Danny Weyns and Sam Malek and Jesper Andersson",
title = "{FORMS}: Unifying reference model for formal
specification of distributed self-adaptive systems",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "8:1--8:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168268",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The challenges of pervasive and mobile computing
environments, which are highly dynamic and
unpredictable, have motivated the development of
self-adaptive software systems. Although noteworthy
successes have been achieved on many fronts, the
construction of such systems remains significantly more
challenging than traditional systems. We argue this is
partially because researchers and practitioners have
been struggling with the lack of a precise vocabulary
for describing and reasoning about the key
architectural characteristics of self-adaptive systems.
Further exacerbating the situation is the fact that
existing frameworks and guidelines do not provide an
encompassing perspective of the different types of
concerns in this setting. In this article, we present a
comprehensive reference model, entitled FOrmal
Reference Model for Self-adaptation (FORMS), that
targets both issues. FORMS provides rigor in the manner
such systems can be described and reasoned about. It
consists of a small number of formally specified
modeling elements that correspond to the key concerns
in the design of self-adaptive software systems, and a
set of relationships that guide their composition. We
demonstrate FORMS's ability to precisely describe and
reason about the architectural characteristics of
distributed self-adaptive software systems through its
application to several existing systems. FORMS's
expressive power gives it a potential for documenting
reusable architectural solutions (e.g., architectural
patterns) to commonly encountered problems in this
area.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Zambonelli:2012:ISS,
author = "Franco Zambonelli and Ben Paechter",
title = "Introduction to the special section on pervasive
adaptation",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "9:1--9:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168269",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Handte:2012:SSA,
author = "Marcus Handte and Gregor Schiele and Verena Matjuntke
and Christian Becker and Pedro Jos{\'e} Marr{\'o}n",
title = "{3PC}: System support for adaptive peer-to-peer
pervasive computing",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "10:1--10:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168270",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A major characteristic of pervasive computing
applications is their ability to adapt themselves to
changing execution environments and physical contexts.
In this article, we analyze different kinds of
adaptations and introduce a multidimensional
classification for them. On this basis, we propose a
novel approach for peer-to-peer-based pervasive
computing that provides support for the identified
classes and integrates them in a multilevel
architecture. We give a comprehensive overview of this
architecture and its current realization in the
Peer-to-Peer Pervasive Computing (3PC) project,
discussing what adaptation is realized on each level,
how the levels interact with each other, and how the
overall system benefits from the integrated treatment
of adaptation.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Dusparic:2012:AMP,
author = "Ivana Dusparic and Vinny Cahill",
title = "Autonomic multi-policy optimization in pervasive
systems: Overview and evaluation",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "11:1--11:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168271",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article describes Distributed W-Learning (DWL), a
reinforcement learning-based algorithm for
collaborative agent-based optimization of pervasive
systems. DWL supports optimization towards multiple
heterogeneous policies and addresses the challenges
arising from the heterogeneity of the agents that are
charged with implementing them. DWL learns and exploits
the dependencies between agents and between policies to
improve overall system performance. Instead of always
executing the locally-best action, agents learn how
their actions affect their immediate neighbors and
execute actions suggested by neighboring agents if
their importance exceeds the local action's importance
when scaled using a predefined or learned collaboration
coefficient. We have evaluated DWL in a simulation of
an Urban Traffic Control (UTC) system, a canonical
example of the large-scale pervasive systems that we
are addressing. We show that DWL outperforms widely
deployed fixed-time and simple adaptive UTC controllers
under a variety of traffic loads and patterns. Our
results also confirm that enabling collaboration
between agents is beneficial as is the ability for
agents to learn the degree to which it is appropriate
for them to collaborate. These results suggest that DWL
is a suitable basis for optimization in other
large-scale systems with similar characteristics.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Serbedzija:2012:RPS,
author = "Nikola Serbedzija and Stephen Fairclough",
title = "Reflective pervasive systems",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "12:1--12:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168272",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Pervasive adaptive systems are concerned with the
construction of ``smart'' technologies capable of
adapting to the needs of the individual in real time.
In order to achieve this level of specificity, systems
must be capable of monitoring the psychological status
of the user and responding to these changes in real
time and across multiple systems if necessary. This
article describes a number of conceptual issues
associated with this category of adaptive technology.
The biocybernetic loop describes different approaches
to monitoring the status of the user from physiological
sensors to overt behavior. These data are used to drive
real time system adaptation tailored to a specific user
in a particular context. The rate at which the
technology adapts to the individual user are described
over three different phases of usage: awareness
(short-term), adjustment (medium-term), and coevolution
(long-term). An ontology is then proposed for the
development of an adaptive software architecture that
embodies this approach and may be extended to encompass
several distinct loops working in parallel. The
feasibility of the approach is assessed through
implemented case studies of their performance and
functionality.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bouchachia:2012:ISS,
author = "Abdelhamid Bouchachia and Nadia Nedjah",
title = "Introduction to the special section on self-adaptive
systems: Models and algorithms",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "13:1--13:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168273",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Loureiro:2012:DOC,
author = "Emerson Loureiro and Paddy Nixon and Simon Dobson",
title = "Decentralized and optimal control of shared resource
pools",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "14:1--14:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168274",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Resource pools are collections of computational
resources (e.g., servers) which can be used by
different applications in a shared way. A crucial
aspect in these pools is to allocate resources so as to
ensure their proper usage, taking into account workload
and specific requirements of each application. An
interesting approach, in this context, is to allocate
the resources in the best possible way, aiming at
optimal resource usage. Workload, however, varies over
time, and in turn, resource demands will vary too. To
ensure that optimal resource usage is always in place,
resource shares should be defined dynamically and over
time. It has been claimed that utility functions are
the main tool for enabling such self-optimizing
behavior. Whereas many solutions with this
characteristic have been proposed to date, none of them
presents true decentralization within the context of
shared pools. In this article, we then propose a
decentralized model for optimal resource usage in
shared resource pools, providing practical and
theoretical evidence of its feasibility.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Guo:2012:MFS,
author = "Hongliang Guo and Yaochu Jin and Yan Meng",
title = "A morphogenetic framework for self-organized
multirobot pattern formation and boundary coverage",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "15:1--15:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168275",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Embryonic development of multicellular organisms, also
known as morphogenesis, is regarded as a robust
self-organization process for pattern generation.
Inspired by the recent findings in biology indicating
that morphogen gradients, together with a Gene
Regulatory Network (GRN), play a key role in biological
patterning, we propose a framework for self-organized
multirobot pattern formation and boundary coverage
based on an artificial GRN model. The proposed
framework does not need a global coordinate system,
which makes it more practical to be implemented in a
physical robotic system. Moreover, an adaptation
mechanism is included in the framework so that the
self-organization algorithm is robust to changes in the
number of robots. Various case studies of multirobot
pattern formation and boundary coverage show the
effectiveness of the framework.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Fisch:2012:TKA,
author = "Dominik Fisch and Dominik Fisch and Martin J{\"a}nicke
and Edgar Kalkowski and Bernhard Sick",
title = "Techniques for knowledge acquisition in dynamically
changing environments",
journal = j-TAAS,
volume = "7",
number = "1",
pages = "16:1--16:??",
month = apr,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2168260.2168276",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:29 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Intelligent agents often have the same or similar
tasks and sometimes they cooperate to solve a given
problem. These agents typically know how to observe
their local environment and how to react on certain
observations, for instance, and this knowledge may be
represented in form of rules. However, many
environments are dynamic in the sense that from time to
time novel rules are required or old rules become
obsolete. In this article we propose and investigate
new techniques for knowledge acquisition by novelty
detection and reaction as well as obsoleteness
detection and reaction that an agent may use for
self-adaptation to new situations. For that purpose we
consider classifiers based on probabilistic rules.
Premises of new rules are learned autonomously while
conclusions are either obtained from human experts or
from other agents which have learned appropriate rules
in the past. By means of knowledge exchange, agents
will efficiently be enabled to cope with situations
they were not confronted with before. This kind of
collaborative intelligence follows the human archetype:
Humans are able to learn from each other by
communicating learned rules. We demonstrate some
properties of the knowledge acquisition techniques
using artificial data as well as data from the field of
intrusion detection.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wang:2012:MCS,
author = "Yufeng Wang and Akihiro Nakao and Athanasios V.
Vasilakos",
title = "On modeling of coevolution of strategies and structure
in autonomous overlay networks",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "17:1--17:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240167",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Currently, on one hand, there exist much work about
network formation and/or growth models, and on the
other hand, cooperative strategy evolutions are
extensively investigated in biological, economic, and
social systems. Generally, overlay networks are
heterogeneous, dynamic, and distributed environments
managed by multiple administrative authorities, shared
by users with different and competing interests, or
even autonomously provided by independent and rational
users. Thus, the structure of a whole overlay network
and the peers' rational strategies are ever coevolving.
However, there are very few approaches that
theoretically investigate the coevolution between
network structure and individual rational behaviors.
The main motivation of our article lies in that: Unlike
existing work which empirically illustrates the
interaction between rational strategies and network
structure (through simulations), based on EGT
(Evolutionary Game Theory), we not only infer a
condition that could favor the cooperative strategy
over defect strategy, but also theoretically
characterizes the structural properties of the formed
network. Specifically, our contributions are twofold.
First, we strictly derive the critical benefit-to-cost
ratio ( b / c ) that would facilitate the evolution of
cooperation. The critical ratio depends on the network
structure (the number of peers in system and the
average degree of each peer), and the evolutionary rule
(the strategy and linking mutation probabilities).
Then, according to the evolutionary rules, we formally
derive the structural properties of the formed network
in full cooperative state. Especially, the degree
distribution is compatible with the power-law, and the
exponent is (4-3 v )/(1-3 v ), where v is peer's
linking mutation probability. Furthermore, we show
that, without being harmful to cooperation evolution, a
slight change of the evolutionary rule will evolve the
network into a small-world structure (high global
efficiency and average clustering coefficient), with
the same power-law degree distribution as in the
original evolution model.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Dixit:2012:ASA,
author = "M{\^o}nica Dixit and Ant{\'o}nio Casimiro and Paolo
Lollini and Andrea Bondavalli and Paulo Verissimo",
title = "Adaptare: Supporting automatic and dependable
adaptation in dynamic environments",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "18:1--18:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240168",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Distributed protocols executing in uncertain
environments, like the Internet or ambient computing
systems, should dynamically adapt to environment
changes in order to preserve Quality of Service (QoS).
In earlier work, it was shown that QoS adaptation
should be dependable, if correctness of protocol
properties is to be maintained. More recently, some
ideas concerning specific strategies and methodologies
for improving QoS adaptation have been proposed. In
this article we describe Adaptare, a complete framework
for dependable QoS adaptation. We assume that during
its lifetime, a system alternates periods where its
temporal behavior is well characterized, with
transition periods during which a variation of the
environment conditions occurs. Our method is based on
the following: if the environment is generically
characterized in analytical terms, and we can detect
the alternation of these stable and transient phases,
we can improve the effectiveness and dependability of
QoS adaptation. To prove our point we provide detailed
evaluation results of the proposed solutions. Our
evaluation is based on synthetic data flows generated
from probabilistic distributions, as well as on real
data traces collected in various Internet-based
environments. We compare our solution with other
approaches and we show that Adaptare, albeit more
complex, is very effective, allowing protocols to adapt
to the available resources in a dependable way.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Combi:2012:CMF,
author = "Carlo Combi and Matteo Gozzi and Roberto Posenato and
Giuseppe Pozzi",
title = "Conceptual modeling of flexible temporal workflows",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "19:1--19:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240169",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Workflow technology has emerged as one of the leading
technologies in modeling, redesigning, and executing
business processes. The management of temporal aspects
in the definition of a workflow process has been
considered only recently in the literature. Currently
available Workflow Management Systems ( WfMS ) and
research prototypes offer a very limited support for
the definition, detection, and management of temporal
constraints over business processes. In this article,
we propose a new advanced workflow conceptual model for
expressing time constraints in business processes and
we present a general technique to check different
levels of temporal consistency for workflow schemata at
process design time: since a time constraint can be
satisfied in different ways, we propose a
classification of temporal workflows according to the
way time constraints are satisfied. Such classification
can be used to successfully manage flexible workflows
at runtime.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Ali:2012:IDE,
author = "Musrrat Ali and Millie Pant and Ajith Abraham",
title = "Improving differential evolution algorithm by
synergizing different improvement mechanisms",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "20:1--20:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240170",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Differential Evolution (DE) is a well-known
Evolutionary Algorithm (EA) for solving global
optimization problems. Practical experiences, however,
show that DE is vulnerable to problems like slow and/or
premature convergence. In this article we propose a
simple and modified DE framework, called MDE, which is
a fusion of three recent modifications in DE: (1)
Opposition-Based Learning (OBL); (2) tournament method
for mutation; and (3) single population structure.
These features have a specific role which helps in
improving the performance of DE. While OBL helps in
giving a good initial start to DE, the use of the
tournament best base vector in the mutation phase helps
in preserving the diversity. Finally the single
population structure helps in faster convergence. Their
synergized effect balances the exploitation and
exploration capabilities of DE without compromising
with the solution quality or the convergence rate. The
proposed MDE is validated on a set of 25 standard
benchmark problems, 7 nontraditional shifted benchmark
functions proposed at the special session of CEC2008,
and three engineering design problems. Numerical
results and statistical analysis show that the proposed
MDE is better than or at least comparable to the basic
DE and several other state-of-the art DE variants.",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Zhang:2012:CDT,
author = "Kai Zhang and Emmanuel G. {Collins, Jr.} and Dongqing
Shi",
title = "Centralized and distributed task allocation in
multi-robot teams via a stochastic clustering auction",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "21:1--21:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240171",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article considers the problem of optimal task
allocation for heterogeneous teams, for example, teams
of heterogeneous robots or human-robot teams. It is
well-known that this problem is NP-hard and hence
computationally feasible approaches must develop an
approximate solution. Here, we propose a solution via a
Stochastic Clustering Auction (SCA) that uses a Markov
chain search process along with simulated annealing.
This is the first stochastic auction method used in
conjunction with global optimization. It is based on
stochastic transfer and swap moves between the clusters
of tasks assigned to the various robots and considers
not only downhill movements, but also uphill movements,
which can avoid local minima. A novel feature of this
algorithm is that, by tuning the annealing suite and
turning the uphill movements on and off, the global
team performance after algorithm convergence can slide
in the region between the global optimal performance
and the performance associated with a random
allocation. Extensive numerical experiments are used to
evaluate the performance of SCA in terms of costs and
computational and communication requirements. For
centralized auctioning, the SCA algorithm is compared
to fast greedy auction algorithms. Distributed
auctioning is then compared with centralized SCA.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mense:2012:ERE,
author = "Mario Mense and Christian Schindelhauer",
title = "An erasure-resilient encoding system for flexible
reading and writing in storage networks",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "22:1--22:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240172",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We introduce the Read-Write-Coding-System (RWC), a
very flexible class of linear block codes that generate
efficient and flexible erasure codes for storage
networks. In particular, given a message x of k symbols
and a codeword y of n symbols, an RW code defines
additional parameters k{$<$}= r,w{$<$}= n that offer
enhanced possibilities to adjust the fault-tolerance
capability of the code. More precisely, an RWC provides
linear (n,r,d) -codes that have: (a) minimum (Hamming)
distance d = n-r+1 for any two codewords, and (b) for
any codeword y$_1$ there exists a codeword y$_2$ with
distance of at most w. Furthermore, depending on the
values r,w and the code alphabet, different block codes
such as parity codes (e.g., RAID 4/5) or Reed--Solomon
(RS) codes (if r = k and thus, w = n ) can be
generated. In storage networks in which I/O accesses
are very costly and redundancy is crucial, this
flexibility has considerable advantages as r and w can
optimally be adapted to read or write intensive
applications; only w symbols must be updated if the
message x changes completely, which is different from
other codes that always need to rewrite y completely as
x changes. In this article, we first state a tight
lower bound and basic conditions for all RW codes.
Furthermore, we introduce special RW codes in which all
mentioned parameters are adjustable even online, that
is, RW codes which are adaptive to changing demands. At
last, we investigate the question for which choices of
(k,r,w,n) a coding system exists over the binary
alphabet F$_2$ = {0,1} and discuss how RW codes can be
combined.",
acknowledgement = ack-nhfb,
articleno = "22",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Sang:2012:SSF,
author = "Lifeng Sang and Anish Arora",
title = "A shared-secret free security infrastructure for
wireless networks",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "23:1--23:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240173",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article develops a shared-secret free wireless
security infrastructure that provides confidentiality,
identity authentication, message authentication,
integrity, sender nonrepudiation, receiver
nonrepudiation, and anonymity. Our infrastructure is
based on two physical primitives, namely collaborative
jamming and spatial signature enforcement, and a zero
knowledge alternative for bootstrapping trust. Notably,
it eschews the use of shared secrets, while providing a
cryptosystem that is no less secure than conventional
cryptosystems.",
acknowledgement = ack-nhfb,
articleno = "23",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Leroux:2012:DOS,
author = "Philippe Leroux and S{\'e}bastien Roy",
title = "Designing and optimizing swarming in a distributed
base station network: Application to power control",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "24:1--24:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240174",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Todays' networks are becoming increasingly complex.
They must provide a growing variety of services to a
wide range of devices. In order to do so, they must
make efficient use of modern technologies including
MIMO, macrodiversity, power control, channel
allocation, beamforming, and so on. In this context,
the centralized management of radio resources on a
large scale is rapidly becoming intractable.
Distributed intelligence constitutes an increasingly
attractive solution to provide network-wide
self-configuration and adaptation capabilities. This
article presents the design of a swarming system for
autonomous power control which adapts naturally to the
changing conditions of mobile networks where
interference patterns are in constant flux. Empirical
methods proposed by Parunak [1997] to develop
MultiAgent Systems with Swarming (MASS) are applied to
the current context while emphasizing the key concepts
that lead to swarming (emergent behavior). A
simulation-based study reveals how the system can be
fine-tuned to obtain various solutions, balancing
resources differently to achieve different trade-off
points. Finally, it is shown that the distributed
approach based on swarming is not only feasible but
leads to higher global QoS levels than comparable
centralized approaches.",
acknowledgement = ack-nhfb,
articleno = "24",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{LeBlond:2012:CPB,
author = "Stevens {Le Blond} and Fabrice {Le Fessant} and Erwan
{Le Merrer}",
title = "Choosing partners based on availability in {P2P}
networks",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "25:1--25:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240175",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Availability of applications or devices is known to be
one of the most critical variables impacting the
performances of software systems. We study in this
article the problem of finding peers matching a given
availability pattern in a peer-to-peer (P2P) system.
Motivated by practical examples, we specify two formal
problems of availability matching that arise in real
applications: disconnection matching, where peers look
for partners expected to disconnect at the same time,
and presence matching, where peers look for partners
expected to be online simultaneously in the future. As
a scalable and inexpensive solution, we propose to use
epidemic protocols for topology management; we provide
corresponding metrics for both matching problems. We
evaluated this solution by simulating two P2P
applications, task scheduling and file storage, over a
new trace of the eDonkey network, the largest one with
availability information. We first proved the existence
of regularity patterns in the sessions of 14M peers
over 27 days. We also showed that, using only 7 days of
history, a simple predictor could select predictable
peers and successfully predicted their online periods
for the next week. Finally, simulations showed that our
simple solution provided good partners fast enough to
match the needs of both applications, and that
consequently, these applications performed as
efficiently at a much lower cost. This solution is
purely distributed as it does not rely on any central
server or oracle to operate. We believe that this work
will be useful for many P2P applications for which it
has been shown that choosing good partners, based on
their availability, drastically improves their
performance and stability.",
acknowledgement = ack-nhfb,
articleno = "25",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Dolev:2012:ATC,
author = "Shlomi Dolev and Marina Kopeetsky",
title = "Anonymous transactions in computer networks",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "26:1--26:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240176",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We present schemes for providing anonymous
transactions while privacy and anonymity are preserved,
providing user's anonymous authentication in
distributed networks such as the Internet. We first
present a practical scheme for anonymous transactions
while the transaction resolution is assisted by a
Trusted Authority. This practical scheme is extended to
a theoretical scheme where a Trusted Authority is not
involved in the transaction resolution. Both schemes
assume that all the players interact over anonymous
secure channels. Given authority that generates for
each player hard to produce evidence EVID (e.g.,
problem instance with or without a solution) to each
player, the identity of a user U is defined by the
ability to prove possession of aforementioned evidence.
We use zero-knowledge proof techniques to repeatedly
identify U by providing a proof that U has evidence
EVID, without revealing EVID, therefore avoiding
identity theft. In both schemes the authority provides
each user with a unique random string. A player U may
produce a unique user name and password for each other
player S using a one-way function over the random
string and the IP address of S. The player does not
have to maintain any information in order to reproduce
the user name and password used for accessing a player
S. Moreover, the player U may execute transactions with
a group of players S$^U$ in two phases; in the first
phase the player interacts with each server without
revealing information concerning its identity and
without possibly identifying linkability among the
servers in S$^U$. In the second phase the player allows
linkability and therefore transaction commitment with
all servers in S$^U$, while preserving anonymity (for
future transactions).",
acknowledgement = ack-nhfb,
articleno = "26",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Chen:2012:FST,
author = "Fei Chen and Alex X. Liu and Jeehyun Hwang and Tao
Xie",
title = "First step towards automatic correction of firewall
policy faults",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "27:1--27:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240177",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Firewalls are critical components of network security
and have been widely deployed for protecting private
networks. A firewall determines whether to accept or
discard a packet that passes through it based on its
policy. However, most real-life firewalls have been
plagued with policy faults, which either allow
malicious traffic or block legitimate traffic. Due to
the complexity of firewall policies, manually locating
the faults of a firewall policy and further correcting
them are difficult. Automatically correcting the faults
of a firewall policy is an important and challenging
problem. In this article, we first propose a fault
model for firewall policies including five types of
faults. For each type of fault, we present an automatic
correction technique. Second, we propose the first
systematic approach that employs these five techniques
to automatically correct all or part of the
misclassified packets of a faulty firewall policy.
Third, we conducted extensive experiments to evaluate
the effectiveness of our approach. Experimental results
show that our approach is effective to correct a faulty
firewall policy with three of these types of faults.",
acknowledgement = ack-nhfb,
articleno = "27",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Legtchenko:2012:RCR,
author = "Sergey Legtchenko and S{\'e}bastien Monnet and Pierre
Sens and Gilles Muller",
title = "{RelaxDHT}: a churn-resilient replication strategy for
peer-to-peer distributed hash-tables",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "28:1--28:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240178",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "DHT-based P2P systems provide a fault-tolerant and
scalable means to store data blocks in a fully
distributed way. Unfortunately, recent studies have
shown that if connection/disconnection frequency is too
high, data blocks may be lost. This is true for most of
the current DHT-based systems' implementations. To deal
with this problem, it is necessary to build more
efficient replication and maintenance mechanisms. In
this article, we study the effect of churn on PAST, an
existing DHT-based P2P system. We then propose
solutions to enhance churn tolerance and evaluate them
through discrete event simulation.",
acknowledgement = ack-nhfb,
articleno = "28",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Blanchini:2012:CBP,
author = "Franco Blanchini and Daniele {De Caneva} and Pier Luca
Montessoro and Davide Pierattoni",
title = "Control-based $p$-persistent adaptive communication
protocol",
journal = j-TAAS,
volume = "7",
number = "2",
pages = "29:1--29:??",
month = jul,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2240166.2240179",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:32 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "An enhancement to the CSMA p-persistent protocol
family is proposed, based on a fully decentralized
control that adjusts the message transmission rate of
each node to the estimated density of surrounding
transmitting nodes. The system does not require
enumeration of nodes nor control messages, the only
input to the control coming from the physical medium
occupation. In addition to communication protocols,
this technique can be used as inexpensive and efficient
density estimation of physical entities in highly
dynamic scenarios. Stability conditions are proposed by
means of a rigorous theoretical investigation. We prove
that our algorithm ensures stability even with unknown
and time--varying network topologies. We show that good
channel exploitation levels can be assured as well by
suitably tuning the control parameters. A digital
algorithm for practical implementation is proposed. The
results are supported by simulation experiments.",
acknowledgement = ack-nhfb,
articleno = "29",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Klinglmayr:2012:SOS,
author = "Johannes Klinglmayr and Christian Bettstetter",
title = "Self-organizing synchronization with
inhibitory-coupled oscillators: Convergence and
robustness",
journal = j-TAAS,
volume = "7",
number = "3",
pages = "30:1--30:??",
month = sep,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2348832.2348833",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:34 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Solutions for time synchronization based on coupled
oscillators operate in a self-organizing and adaptive
manner and can be applied to various types of dynamic
networks. The basic idea was inspired by swarms of
fireflies, whose flashing dynamics shows an emergent
behavior. This article introduces such a
synchronization technique whose main components are
``inhibitory coupling'' and ``self-adjustment.'' Based
on this new technique, a number of contributions are
made. First, we prove that inhibitory coupling can lead
to perfect synchrony independent of initial conditions
for delay-free environments and homogeneous
oscillators. Second, relaxing the assumptions to
systems with delays and different phase rates, we prove
that such systems synchronize up to a certain precision
bound. We derive this bound assuming inhomogeneous
delays and show by simulations that it gives a good
estimate in strongly-coupled systems. Third, we show
that inhibitory coupling with self-adjustment quickly
leads to synchrony with a precision comparable to that
of excitatory coupling. Fourth, we analyze the
robustness against faulty members performing incorrect
coupling. While the specific precision-loss encountered
by such disturbances depends on system parameters, the
system always regains synchrony for the investigated
scenarios.",
acknowledgement = ack-nhfb,
articleno = "30",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wang:2012:HPK,
author = "Yufeng Wang and Akihiro Nakao and Athanasios V.
Vasilakos",
title = "Heterogeneity playing key role: Modeling and analyzing
the dynamics of incentive mechanisms in autonomous
networks",
journal = j-TAAS,
volume = "7",
number = "3",
pages = "31:1--31:??",
month = sep,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2348832.2348834",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:34 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Heterogeneities (heterogeneous characteristics) are
intrinsic in dynamic and autonomous networks, and may
be caused by the following factors: finite nodes,
structured network graph, mutation of node's strategy
and topological view, and dynamic linking, and so on.
However, few works systematically investigate the
effect of the intrinsic heterogeneities on the
evolutionary dynamics of incentive mechanisms in
autonomous networks. In this article, we thoroughly
discuss this interesting problem. Specifically, this
article respectively models the pairwise interaction
between peers as PD (prisoner's dilemma)-like game and
multiple peers' interactions as public-goods game,
proposes a general analytical framework for dynamics in
evolutionary game theory (EGT)-based incentive
mechanisms, and draws the following conclusions. First,
for explicit incentive mechanisms, due to
heterogeneity, it is impossible to get the static
equilibrium of absolutely-full-cooperation (or state
that provides service to the networks-so-called
reciprocation), but, on the other hand, heterogeneity
can facilitate reciprocation evolution, and drive the
whole system into almost-full-reciprocation state, that
is, most of the system time would be occupied by the
full reciprocation state. Second, even without any
explicit incentive mechanisms, simultaneous coevolution
between dynamic linking and peers' rational strategies
can not only facilitate the cooperation evolution, but
drive the network structure into the desirable
small-world structure. The philosophical implication of
our work is that simplicity and homogeneity are too
idealized for incentive mechanisms in autonomous
networks-diversity and heterogeneity are intrinsic for
any incentive mechanism that is compatible with the
essence of our real society. Diversity is everywhere.",
acknowledgement = ack-nhfb,
articleno = "31",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Xu:2012:PPB,
author = "Shouhuai Xu and Wenlian Lu and Li Xu",
title = "Push- and pull-based epidemic spreading in networks:
Thresholds and deeper insights",
journal = j-TAAS,
volume = "7",
number = "3",
pages = "32:1--32:??",
month = sep,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2348832.2348835",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:34 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Understanding the dynamics of computer virus (malware,
worm) in cyberspace is an important problem that has
attracted a fair amount of attention. Early
investigations for this purpose adapted biological
epidemic models, and thus inherited the so-called
homogeneity assumption that each node is equally
connected to others. Later studies relaxed this often
unrealistic homogeneity assumption, but still focused
on certain power-law networks. Recently, researchers
investigated epidemic models in arbitrary networks
(i.e., no restrictions on network topology). However,
all these models only capture push-based infection,
namely that an infectious node always actively attempts
to infect its neighboring nodes. Very recently, the
concept of pull-based infection was introduced but was
not treated rigorously. Along this line of research,
the present article investigates push- and pull-based
epidemic spreading dynamics in arbitrary networks,
using a nonlinear dynamical systems approach. The
article advances the state-of-the-art as follows: (1)
It presents a more general and powerful sufficient
condition (also known as epidemic threshold in the
literature) under which the spreading will become
stable. (2) It gives both upper and lower bounds on the
global mean infection rate, regardless of the stability
of the spreading. (3) It offers insights into, among
other things, the estimation of the global mean
infection rate through localized monitoring of a small
constant number of nodes, without knowing the values of
the parameters.",
acknowledgement = ack-nhfb,
articleno = "32",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Puviani:2012:MFA,
author = "Mariachiara Puviani and Giovanna Di Marzo Serugendo
and Regina Frei and Giacomo Cabri",
title = "A method fragments approach to methodologies for
engineering self-organizing systems",
journal = j-TAAS,
volume = "7",
number = "3",
pages = "33:1--33:??",
month = sep,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2348832.2348836",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:34 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article summarizes five relevant methods for
developing self-organizing multiagent systems. It
identifies their most relevant aspects and provides a
description of each one under the form of method
fragments expressed using SPEM (Software and System
Process Engineering Metamodel). The use of a
``metamodel'' to describe fragments facilitates the
comparison of the methods and their respective
fragments. These fragments can be combined and be part
of a more general ad hoc methodology, created according
to the needs of the designer. Self-organizing traffic
lights controllers and self-organizing displays are
chosen as case studies to illustrate the methods and to
underline which fragments are important for
self-organizing systems. Finally, we illustrate how to
augment PASSI2, an agent-based methodology which does
not consider self-organization aspects, with some of
the identified fragments for self-organization.",
acknowledgement = ack-nhfb,
articleno = "33",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Quiroz:2012:DED,
author = "Andres Quiroz and Manish Parashar and Nathan
Gnanasambandam and Naveen Sharma",
title = "Design and evaluation of decentralized online
clustering",
journal = j-TAAS,
volume = "7",
number = "3",
pages = "34:1--34:??",
month = sep,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2348832.2348837",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Nov 6 19:20:34 MST 2012",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Ensuring the efficient and robust operation of
distributed computational infrastructures is critical,
given that their scale and overall complexity is
growing at an alarming rate and that their management
is rapidly exceeding human capability. Clustering
analysis can be used to find patterns and trends in
system operational data, as well as highlight
deviations from these patterns. Such analysis can be
essential for verifying the correctness and efficiency
of the operation of the system, as well as for
discovering specific situations of interest, such as
anomalies or faults, that require appropriate
management actions. This work analyzes the automated
application of clustering for online system management,
from the point of view of the suitability of different
clustering approaches for the online analysis of system
data in a distributed environment, with minimal prior
knowledge and within a timeframe that allows the timely
interpretation of and response to clustering results.
For this purpose, we evaluate DOC (Decentralized Online
Clustering), a clustering algorithm designed to support
data analysis for autonomic management, and compare it
to existing and widely used clustering algorithms. The
comparative evaluations will show that DOC achieves a
good balance in the trade-offs inherent in the
challenges for this type of online management.",
acknowledgement = ack-nhfb,
articleno = "34",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Giordanelli:2012:BIP,
author = "Raffaele Giordanelli and Carlo Mastroianni and Michela
Meo",
title = "Bio-Inspired {P2P} Systems: The Case of
Multidimensional Overlay",
journal = j-TAAS,
volume = "7",
number = "4",
pages = "35:1--35:??",
month = dec,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2382570.2382571",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:32 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article presents an ant-based approach that
enhances the flexibility, robustness and load balancing
characteristics of structured P2P systems. Most
notably, the approach allows peer indexes and resource
keys to be defined on different and independent spaces,
so that it overcomes the main limitation of standard
structured P2P systems, that is, the need to assign
each key to a peer having a specified index. This helps
to improve load balancing, especially when the
popularity distribution of resource keys is nonuniform,
and enables the efficient execution of complex and
range queries, which are essential in important types
of distributed systems, for example, in Grids and
Clouds. Beyond describing the general approach, this
article focuses on the specific case of Self-CAN, a
self-organizing P2P system that, while relying on the
multidimensional structured organization of peers
provided by CAN, exploits the operations of ant-based
mobile agents to sort the resource keys and distribute
them to peers. This system is particularly useful for
the management and discovery of the resources that can
be conveniently characterized by the values of several
independent attributes.",
acknowledgement = ack-nhfb,
articleno = "35",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Maggio:2012:CDM,
author = "Martina Maggio and Henry Hoffmann and Alessandro V.
Papadopoulos and Jacopo Panerati and Marco D.
Santambrogio and Anant Agarwal and Alberto Leva",
title = "Comparison of Decision-Making Strategies for
Self-Optimization in Autonomic Computing Systems",
journal = j-TAAS,
volume = "7",
number = "4",
pages = "36:1--36:??",
month = dec,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2382570.2382572",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:32 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Autonomic computing systems are capable of adapting
their behavior and resources thousands of times a
second to automatically decide the best way to
accomplish a given goal despite changing environmental
conditions and demands. Different decision mechanisms
are considered in the literature, but in the vast
majority of the cases a single technique is applied to
a given instance of the problem. This article proposes
a comparison of some state of the art approaches for
decision making, applied to a self-optimizing autonomic
system that allocates resources to a software
application. A variety of decision mechanisms, from
heuristics to control-theory and machine learning, are
investigated. The results obtained with these solutions
are compared by means of case studies using standard
benchmarks. Our results indicate that the most suitable
decision mechanism can vary depending on the specific
test case but adaptive and model predictive control
systems tend to produce good performance and may work
best in a priori unknown situations.",
acknowledgement = ack-nhfb,
articleno = "36",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Stratan:2012:XRS,
author = "Corina Stratan and Jan Sacha and Jeff Napper and Paolo
Costa and Guillaume Pierre",
title = "The {XtreemOS} Resource Selection Service",
journal = j-TAAS,
volume = "7",
number = "4",
pages = "37:1--37:??",
month = dec,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2382570.2382573",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:32 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Many large-scale utility computing infrastructures
comprise heterogeneous hardware and software resources.
This raises the need for scalable resource selection
services that identify resources that match application
requirements. Such a service must provide an efficient
lookup in spite of changing resource attributes such as
disk size, changing application requirements such as
installed software libraries, and changing system
composition as resources join or leave. We present a
fully decentralized, self-managing Resource Selection
Service (RSS) algorithm by which resources autonomously
select themselves when their attributes match a query.
An application specifies what it expects from a
resource by means of a conjunction of
(attribute,value-range) pairs, which are matched
against the attribute values of resources. The set of
search attributes can also be updated online to reflect
new requirements. We show that our solution scales in
the number of resources and in the number of
attributes, while being relatively insensitive to churn
and other membership changes like node failures. Our
RSS continuously self-adapts its routing structure in
response to variations in the distribution of node
attributes and queries. We show that this autonomous
optimization maintains performance and availability in
a long-lived service even when the set of application
requirements used to select resources changes.",
acknowledgement = ack-nhfb,
articleno = "37",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Farahat:2012:LMA,
author = "Aly Farahat and Ali Ebnenasir",
title = "A Lightweight Method for Automated Design of
Convergence in Network Protocols",
journal = j-TAAS,
volume = "7",
number = "4",
pages = "38:1--38:??",
month = dec,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2382570.2382574",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:32 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Design and verification of Self-Stabilizing (SS)
network protocols are difficult tasks in part because
of the convergence property that requires an SS
protocol to recover to a set of legitimate states from
any state in its state space. Once an SS protocol
reaches a legitimate state, it remains in the set of
legitimate states as long as there are no faults,
called the closure property. Distribution issues
exacerbate the design complexity of SS protocols as
processes should collaborate and take local actions
that result in global convergence. Most existing design
techniques are manual, and mainly focus on protocols
whose global state can be corrected if the local states
of all processes are corrected, called the locally
correctable protocols. After manual design, an SS
protocol has to be verified for closure and
convergence. Previous work observes that verifying SS
protocols is a harder problem than designing them as
developers have to ensure the correctness of closure
and convergence functionalities and their
noninterference. An algorithmic method for the design
of convergence generates protocols that are correct by
construction, thereby eliminating the need for
verification. In order to facilitate the design of SS
protocols, this article presents a lightweight method
for algorithmic addition of convergence to finite-state
nonstabilizing protocols, including nonlocally
correctable protocols. The proposed method enables the
reuse of design efforts in the development of different
self-stabilizing protocols. Moreover, for the first
time (to the best of our knowledge), this article
presents an algorithmic method for the addition of
convergence to symmetric protocols that consist of
structurally similar processes. The proposed approach
is supported by a software tool that automatically adds
convergence to nonstabilizing protocols. We have used
the proposed method/tool to automatically generate
several self-stabilizing protocols with up to 40
processes (and 3$^{40}$ states) in a few minutes on a
regular PC. Surprisingly, our tool has synthesized both
protocols that are the same as their manually designed
versions as well as alternative solutions for
well-known problems in the literature (e.g., Dijkstra's
token ring, maximal matching, graph coloring, agreement
and leader election in a ring). Moreover, the proposed
method has helped us detect a design flaw in a manually
designed self-stabilizing protocol.",
acknowledgement = ack-nhfb,
articleno = "38",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Pitt:2012:ASE,
author = "Jeremy Pitt and Julia Schaumeier and Alexander
Artikis",
title = "Axiomatization of Socio-Economic Principles for
Self-Organizing Institutions: Concepts, Experiments and
Challenges",
journal = j-TAAS,
volume = "7",
number = "4",
pages = "39:1--39:??",
month = dec,
year = "2012",
CODEN = "????",
DOI = "https://doi.org/10.1145/2382570.2382575",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:32 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We address the problem of engineering self-organizing
electronic institutions for resource allocation in
open, embedded, and resource-constrained systems. In
such systems, there is decentralized control,
competition for resources and an expectation of both
intentional and unintentional errors. The ``optimal''
distribution of resources is then less important than
the endurance of the distribution mechanism. Under
these circumstances, we propose to model resource
allocation as a common-pool resource management
problem, and develop a formal characterization of
Elinor Ostrom's socio-economic principles for
self-governing institutions. This article applies a
method for sociologically inspired computing to give a
complete axiomatization of six of Ostrom's eight
principles in the Event Calculus. A testbed is
implemented for experimenting with the axiomatization.
The experimental results show that these principles
support enduring institutions, in terms of longevity
and membership, and also provide insight into
calibrating the transaction and running costs
associated with implementing the principles against the
behavioral profile of the institutional membership. We
conclude that it is possible to express Ostrom's
principles in logical form and that they are necessary
and sufficient conditions for enduring self-organizing
electronic institutions to manage sustainable
common-pool resources.",
acknowledgement = ack-nhfb,
articleno = "39",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Parashar:2013:E,
author = "Manish Parashar and Franco Zambonelli",
title = "Editorial",
journal = j-TAAS,
volume = "8",
number = "1",
pages = "1:1--1:??",
month = apr,
year = "2013",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:34 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Villatoro:2013:RCE,
author = "Daniel Villatoro and Jordi Sabater-Mir and Sandip
Sen",
title = "Robust convention emergence in social networks through
self-reinforcing structures dissolution",
journal = j-TAAS,
volume = "8",
number = "1",
pages = "2:1--2:??",
month = apr,
year = "2013",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:34 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Convention emergence solves the problem of choosing,
in a decentralized way and among all equally beneficial
conventions, the same convention for the entire
population in the system for their own benefit. Our
previous work has shown that reaching 100\% agreement
is not as straighforward as assumed by previous
researchers, that, in order to save computational
resources fixed the convergence rate to 90\% (measuring
the time it takes for 90\% of the population to
coordinate on the same action). In this article we
present the notion of social instruments as a set of
mechanisms that facilitate and accelerate the emergence
of norms from repeated interactions between members of
a society, only accessing local and public information
and thus ensuring agents' privacy and anonymity.
Specifically, we focus on two social instruments:
rewiring and observation. Our main goal is to provide
agents with tools that allow them to leverage their
social network of interactions while effectively
addressing coordination and learning problems, paying
special attention to dissolving metastable
subconventions. The first experimental results show
that even with the usage of the proposed instruments,
convergence is not accelerated or even obtained in
irregular networks. This result leads us to perform an
exhaustive analysis of irregular networks discovering
what we have defined as Self-Reinforcing Structures
(SRS). The SRS are topological configurations of nodes
that promote the establishment and persistence of
subconventions by producing a continuous reinforcing
effect on the frontier agents. Finally, we propose a
more sophisticated composed social instrument
(observation + rewiring) for robust resolution of
subconventions, which works by the dissolution of the
stable frontiers caused by the Self-Reinforcing
Substructures (SRS) within the social network.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Purkayastha:2013:CRA,
author = "Punyaslok Purkayastha and John S. Baras",
title = "Convergence results for ant routing algorithms via
stochastic approximation",
journal = j-TAAS,
volume = "8",
number = "1",
pages = "3:1--3:??",
month = apr,
year = "2013",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:34 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we provide convergence results for an
Ant-based Routing Algorithm (ARA) for wireline,
packet-switched communication networks, that are
acyclic. Such algorithms are inspired by the foraging
behavior of ants in nature. We consider an ARA
algorithm proposed earlier by Bean and Costa [2005].
The algorithm has the virtues of being adaptive and
distributed, and can provide a multipath routing
solution. We consider a scenario where there are
multiple incoming data traffic streams that are to be
routed to their respective destinations via the
network. Ant packets, which are nothing but probe
packets, are introduced to estimate the path delays in
the network. The node routing tables, which consist of
routing probabilities for the outgoing links, are
updated based on these delay estimates. In contrast to
the available analytical studies in the literature, the
link delays in our model are stochastic, time-varying,
and dependent on the link traffic. The evolution of the
delay estimates and the routing probabilities are
described by a set of stochastic iterative equations.
In doing so, we take into account the distributed and
asynchronous nature of the algorithm operation. Using
methods from the theory of stochastic approximations,
we show that the evolution of the delay estimates can
be closely tracked by a deterministic ODE (Ordinary
Differential Equation) system, when the step size of
the delay estimation scheme is small. We study the
equilibrium behavior of the ODE system in order to
obtain the equilibrium behavior of the routing
algorithm. We also explore properties of the
equilibrium routing probabilities, and provide
illustrative simulation results.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Habib:2013:ASW,
author = "Irfan Habib and Ashiq Anjum and Richard Mcclatchey and
Omer Rana",
title = "Adapting scientific workflow structures using
multi-objective optimization strategies",
journal = j-TAAS,
volume = "8",
number = "1",
pages = "4:1--4:??",
month = apr,
year = "2013",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:34 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Scientific workflows have become the primary mechanism
for conducting analyses on distributed computing
infrastructures such as grids and clouds. In recent
years, the focus of optimization within scientific
workflows has primarily been on computational tasks and
workflow makespan. However, as workflow-based analysis
becomes ever more data intensive, data optimization is
becoming a prime concern. Moreover, scientific
workflows can scale along several dimensions: (i)
number of computational tasks, (ii) heterogeneity of
computational resources, and the (iii) size and type
(static versus streamed) of data involved. Adapting
workflow structure in response to these scalability
challenges remains an important research objective.
Understanding how a workflow graph can be restructured
in an automated manner (through task merge, for
instance), to address constraints of a particular
execution environment is explored in this work, using a
multi-objective evolutionary approach. Our approach
attempts to adapt the workflow structure to achieve
both compute and data optimization. The question of
when to terminate the evolutionary search in order to
conserve computations is tackled with a novel
termination criterion. The results presented in this
article demonstrate the feasibility of the termination
criterion and demonstrate that significant optimization
can be achieved with a multi-objective approach.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Gallacher:2013:LUP,
author = "Sarah Gallacher and Eliza Papadopoulou and Nick K.
Taylor and M. Howard Williams",
title = "Learning user preferences for adaptive pervasive
environments: an incremental and temporal approach",
journal = j-TAAS,
volume = "8",
number = "1",
pages = "5:1--5:??",
month = apr,
year = "2013",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:34 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Personalization mechanisms often employ behavior
monitoring and machine learning techniques to aid the
user in the creation and management of a preference set
that is used to drive the adaptation of environments
and resources in line with individual user needs. This
article reviews several of the personalization
solutions provided to date and proposes two hypotheses:
(A) an incremental machine learning approach is better
suited to the preference learning problem as opposed to
the commonly employed batch learning techniques, (B)
temporal data related to the duration that user context
states and preference settings endure is a beneficial
input to a preference learning solution. These two
hypotheses are the cornerstones of the Dynamic
Incremental Associative Neural NEtwork (DIANNE)
developed as a tailored solution to preference learning
in a pervasive environment. DIANNE has been evaluated
in two ways: first, by applying it to benchmark
datasets to test DIANNE's performance and scalability
as a machine learning solution; second, by end-users in
live trials to determine the validity of the proposed
hypotheses and to evaluate DIANNE's utility as a
preference learning solution.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mellouk:2013:SDT,
author = "Abdelhamid Mellouk and Said Hoceini and Sherali
Zeadally",
title = "A state-dependent time evolving multi-constraint
routing algorithm",
journal = j-TAAS,
volume = "8",
number = "1",
pages = "6:1--6:??",
month = apr,
year = "2013",
CODEN = "????",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Apr 30 18:33:34 MDT 2013",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article proposes a state-dependent routing
algorithm based on a global optimization cost function
whose parameters are learned from the real-time state
of the network with no a priori model. The proposed
approach samples, estimates, and builds the model of
pertinent and important aspects of the network
environment such as type of traffic, QoS policies,
resources, etc. It is based on the trial/error paradigm
combined with swarm-adaptive approaches. The global
system uses a model that combines both a stochastic
planned prenavigation for the exploration phase with a
deterministic approach for the backward phase. We
conducted a performance analysis of the proposed
algorithm using OPNET based on several topologies such
as the Nippon telephone and telegraph network. The
simulation results obtained demonstrate substantial
performance improvements over traditional routing
approaches as well as the benefits of learning
approaches for networks with dynamically changing
traffic.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Salvaneschi:2013:ALL,
author = "Guido Salvaneschi and Carlo Ghezzi and Matteo
Pradella",
title = "An Analysis of Language-Level Support for
Self-Adaptive Software",
journal = j-TAAS,
volume = "8",
number = "2",
pages = "7:1--7:??",
month = jul,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2491465.2491466",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:24 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-adaptive software has become increasingly
important to address the new challenges of complex
computing systems. To achieve adaptation, software must
be designed and implemented by following suitable
criteria, methods, and strategies. Past research has
been mostly addressing adaptation by developing
solutions at the software architecture level. This
work, instead, focuses on finer-grain programming
language-level solutions. We analyze three main
linguistic approaches: metaprogramming, aspect-oriented
programming, and context-oriented programming. The
first two are general-purpose linguistic mechanisms,
whereas the third is a specific and focused approach
developed to support context-aware applications. This
paradigm provides specialized language-level
abstractions to implement dynamic adaptation and
modularize behavioral variations in adaptive systems.
The article shows how the three approaches can support
the implementation of adaptive systems and compares the
pros and cons offered by each solution.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Schneider:2013:CSC,
author = "Daniel Schneider and Mario Trapp",
title = "Conditional Safety Certification of Open Adaptive
Systems",
journal = j-TAAS,
volume = "8",
number = "2",
pages = "8:1--8:??",
month = jul,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2491465.2491467",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:24 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In recent years it has become more and more evident
that openness and adaptivity are key characteristics of
next-generation distributed systems. The reason for
this is not least due to the advent of computing trends
like ubiquitous computing, ambient intelligence, and
cyber-physical systems, where systems are usually open
for dynamic integration and able to react adaptively to
changing situations. Despite being open and adaptive,
it is a common requirement for such systems to be safe.
However, traditional safety assurance techniques, both
state-of-the-practice and state-of-the-art ones, are
not sufficient in this context. We have recently
developed some initial solution concepts based on
conditional safety certificates and corresponding
runtime analyses. In this article we show how to
operationalize these concepts. To this end, we present
in detail how to specify conditional safety
certificates, how to transform them into suitable
runtime models, and how these models finally support
dynamic safety evaluations.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Lama:2013:APS,
author = "Palden Lama and Xiaobo Zhou",
title = "Autonomic Provisioning with Self-Adaptive Neural Fuzzy
Control for Percentile-Based Delay Guarantee",
journal = j-TAAS,
volume = "8",
number = "2",
pages = "9:1--9:??",
month = jul,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2491465.2491468",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:24 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Autonomic server provisioning for performance
assurance is a critical issue in Internet services. It
is challenging to guarantee that requests flowing
through a multi-tier system will experience an
acceptable distribution of delays. The difficulty is
mainly due to highly dynamic workloads, the complexity
of underlying computer systems, and the lack of
accurate performance models. We propose a novel
autonomic server provisioning approach based on a
model-independent self-adaptive Neural Fuzzy Control
(NFC). Existing model-independent fuzzy controllers are
designed manually on a trial-and-error basis, and are
often ineffective in the face of highly dynamic
workloads. NFC is a hybrid of control-theoretical and
machine learning techniques. It is capable of
self-constructing its structure and adapting its
parameters through fast online learning. We further
enhance NFC to compensate for the effect of server
switching delays. Extensive simulations demonstrate
that, compared to a rule-based fuzzy controller and a
Proportional-Integral controller, the NFC-based
approach delivers superior performance assurance in the
face of highly dynamic workloads. It is robust to
variation in workload intensity, characteristics, delay
target, and server switching delays. We demonstrate the
feasibility and performance of the NFC-based approach
with a testbed implementation in virtualized blade
servers hosting a multi-tier online auction
benchmark.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Schuhmann:2013:ACD,
author = "Stephan Schuhmann and Klaus Herrmann and Kurt
Rothermel and Yazan Boshmaf",
title = "Adaptive Composition of Distributed Pervasive
Applications in Heterogeneous Environments",
journal = j-TAAS,
volume = "8",
number = "2",
pages = "10:1--10:??",
month = jul,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2491465.2491469",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:24 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Complex pervasive applications need to be distributed
for two main reasons: due to the typical resource
restrictions of mobile devices, and to use local
services to interact with the immediate environment. To
set up such an application, the distributed components
require spontaneous composition. Since dynamics in the
environment and device failures may imply the
unavailability of components and devices at any time,
finding, maintaining, and adapting such a composition
is a nontrivial task. Moreover, the speed of such a
configuration process directly influences the user
since in the event of a configuration, the user has to
wait. In this article, we introduce configuration
algorithms for homogeneous and heterogeneous
environments. We discuss a comprehensive approach to
pervasive application configuration that adapts to the
characteristics of the environment: It chooses the most
efficient configuration method for the given
environment to minimize the configuration latency.
Moreover, we propose a new scheme for caching and
reusing partial application configurations. This scheme
reduces the configuration latency even further such
that a configuration can be executed without notable
disturbance of the user.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Jiang:2013:FAE,
author = "Hao Jiang and Jason O. Hallstrom",
title = "Fast, Accurate Event Classification on Resource-Lean
Embedded Sensors",
journal = j-TAAS,
volume = "8",
number = "2",
pages = "11:1--11:??",
month = jul,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2491465.2491470",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:24 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Due to the limited computational and energy resources
available on existing wireless sensor platforms,
achieving high-precision classification of high-level
events in-network is a challenge. In this article, we
present in-network implementations of a Bayesian
classifier and a condensed kd-tree classifier for
identifying events of interest on resource-lean
embedded sensors. The first approach uses preprocessed
sensor readings to derive a multidimensional Bayesian
classifier used to classify sensor data in real time.
The second introduces an innovative condensed kd-tree
to represent preprocessed sensor data and uses a fast
nearest-neighbor search to determine the likelihood of
class membership for incoming samples. Both classifiers
consume limited resources and provide high-precision
classification. To evaluate each approach, two case
studies are considered, in the contexts of human
movement and vehicle navigation, respectively. The
classification accuracy is above 85\% for both
classifiers across the two case studies.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Conti:2013:DPE,
author = "Marco Conti and Matteo Mordacchini and Andrea
Passarella",
title = "Design and Performance Evaluation of Data
Dissemination Systems for Opportunistic Networks Based
on Cognitive Heuristics",
journal = j-TAAS,
volume = "8",
number = "3",
pages = "12:1--12:??",
month = sep,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2518017.2518018",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:25 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In the convergence of the Cyber-Physical World, user
devices will act as proxies of the humans in the cyber
world. They will be required to act in a vast
information landscape, asserting the relevance of data
spread in the cyber world, in order to let their human
users become aware of the content they really need.
This is a remarkably similar situation to what the
human brain has to do all the time when deciding what
information coming from the surrounding environment is
interesting and what can simply be ignored. The brain
performs this task using so called cognitive
heuristics, i.e. simple, rapid, yet very effective
schemes. In this article, we propose a new approach
that exploits one of these heuristics, the recognition
heuristic, for developing a self-adaptive system that
deals with effective data dissemination in
opportunistic networks. We show how to implement it and
provide an extensive analysis via simulation.
Specifically, results show that the proposed solution
is as effective as state-of-the-art solutions for data
dissemination in opportunistic networks, while
requiring far less resources. Finally, our
sensitiveness analysis shows how various parameters
depend on the context where nodes are situated, and
suggest corresponding optimal configurations for the
algorithm.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Campos:2013:RRA,
author = "Jordi Campos and Maite Lopez-Sanchez and Maria
Salam{\'o} and Pedro Avila and Juan A.
Rodr{\'\i}guez-Aguilar",
title = "Robust Regulation Adaptation in Multi-Agent Systems",
journal = j-TAAS,
volume = "8",
number = "3",
pages = "13:1--13:??",
month = sep,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2517328",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:25 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Adaptive organisation-centred multi-agent systems can
dynamically modify their organisational components to
better accomplish their goals. Our research line
proposes an abstract distributed architecture (2-LAMA)
to endow an organisation with adaptation capabilities.
This article focuses on regulation-adaptation based on
a machine learning approach, in which adaptation is
learned by applying a tailored case-based reasoning
method. We evaluate the robustness of the system when
it is populated by non compliant agents. The evaluation
is performed in a peer-to-peer sharing network
scenario. Results show that our proposal significantly
improves system performance and can cope with
regulation violators without incorporating any specific
regulation-compliance enforcement mechanisms.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Zhang:2013:PMO,
author = "Zhuoyao Zhang and Ludmila Cherkasova and Abhishek
Verma and Boon Thau Loo",
title = "Performance Modeling and Optimization of
Deadline-Driven {Pig} Programs",
journal = j-TAAS,
volume = "8",
number = "3",
pages = "14:1--14:??",
month = sep,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2518017.2518019",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:25 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Many applications associated with live business
intelligence are written as complex data analysis
programs defined by directed acyclic graphs of
MapReduce jobs, for example, using Pig, Hive, or Scope
frameworks. An increasing number of these applications
have additional requirements for completion time
guarantees. In this article, we consider the popular
Pig framework that provides a high-level SQL-like
abstraction on top of MapReduce engine for processing
large data sets. There is a lack of performance models
and analysis tools for automated performance management
of such MapReduce jobs. We offer a performance modeling
environment for Pig programs that automatically
profiles jobs from the past runs and aims to solve the
following inter-related problems: (i) estimating the
completion time of a Pig program as a function of
allocated resources; (ii) estimating the amount of
resources (a number of map and reduce slots) required
for completing a Pig program with a given (soft)
deadline. First, we design a basic performance model
that accurately predicts completion time and required
resource allocation for a Pig program that is defined
as a sequence of MapReduce jobs: predicted completion
times are within 10\% of the measured ones. Second, we
optimize a Pig program execution by enforcing the
optimal schedule of its concurrent jobs. For DAGs with
concurrent jobs, this optimization helps reducing the
program completion time: 10\%--27\% in our experiments.
Moreover, it eliminates possible nondeterminism of
concurrent jobs' execution in the Pig program, and
therefore, enables a more accurate performance model
for Pig programs. Third, based on these optimizations,
we propose a refined performance model for Pig programs
with concurrent jobs. The proposed approach leads to
significant resource savings (20\%--60\% in our
experiments) compared with the original, unoptimized
solution. We validate our solution using a 66-node
Hadoop cluster and a diverse set of workloads: PigMix
benchmark, TPC-H queries, and customized queries mining
a collection of HP Labs' web proxy logs.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Hao:2013:ASO,
author = "Jianye Hao and Ho-Fung Leung",
title = "Achieving Socially Optimal Outcomes in Multiagent
Systems with Reinforcement Social Learning",
journal = j-TAAS,
volume = "8",
number = "3",
pages = "15:1--15:??",
month = sep,
year = "2013",
CODEN = "????",
DOI = "https://doi.org/10.1145/2517329",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:25 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In multiagent systems, social optimality is a
desirable goal to achieve in terms of maximizing the
global efficiency of the system. We study the problem
of coordinating on socially optimal outcomes among a
population of agents, in which each agent randomly
interacts with another agent from the population each
round. Previous work [Hales and Edmonds 2003; Matlock
and Sen 2007, 2009] mainly resorts to modifying the
interaction protocol from random interaction to
tag-based interactions and only focus on the case of
symmetric games. Besides, in previous work the agents'
decision making processes are usually based on
evolutionary learning, which usually results in high
communication cost and high deviation on the
coordination rate. To solve these problems, we propose
an alternative social learning framework with two major
contributions as follows. First, we introduce the
observation mechanism to reduce the amount of
communication required among agents. Second, we propose
that the agents' learning strategies should be based on
reinforcement learning technique instead of
evolutionary learning. Each agent explicitly keeps the
record of its current state in its learning strategy,
and learn its optimal policy for each state
independently. In this way, the learning performance is
much more stable and also it is suitable for both
symmetric and asymmetric games. The performance of this
social learning framework is extensively evaluated
under the testbed of two-player general-sum games
comparing with previous work [Hao and Leung 2011;
Matlock and Sen 2007]. The influences of different
factors on the learning performance of the social
learning framework are investigated as well.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Editors:2014:ISS,
author = "{Editors}",
title = "Introduction to the Special Section on Best Papers
from {SEAMS 2012}",
journal = j-TAAS,
volume = "8",
number = "4",
pages = "16:1--16:??",
month = jan,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555610",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:26 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Yuan:2014:SSS,
author = "Eric Yuan and Naeem Esfahani and Sam Malek",
title = "A Systematic Survey of Self-Protecting Software
Systems",
journal = j-TAAS,
volume = "8",
number = "4",
pages = "17:1--17:??",
month = jan,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555611",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:26 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-protecting software systems are a class of
autonomic systems capable of detecting and mitigating
security threats at runtime. They are growing in
importance, as the stovepipe static methods of securing
software systems have been shown to be inadequate for
the challenges posed by modern software systems.
Self-protection, like other self-* properties, allows
the system to adapt to the changing environment through
autonomic means without much human intervention, and
can thereby be responsive, agile, and cost effective.
While existing research has made significant progress
towards autonomic and adaptive security, gaps and
challenges remain. This article presents a significant
extension of our preliminary study in this area. In
particular, unlike our preliminary study, here we have
followed a systematic literature review process, which
has broadened the scope of our study and strengthened
the validity of our conclusions. By proposing and
applying a comprehensive taxonomy to classify and
characterize the state-of-the-art research in this
area, we have identified key patterns, trends and
challenges in the existing approaches, which reveals a
number of opportunities that will shape the focus of
future research efforts.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Vogel:2014:MDE,
author = "Thomas Vogel and Holger Giese",
title = "Model-Driven Engineering of Self-Adaptive Software
with {EUREMA}",
journal = j-TAAS,
volume = "8",
number = "4",
pages = "18:1--18:??",
month = jan,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555612",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:26 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The development of self-adaptive software requires the
engineering of an adaptation engine that controls the
underlying adaptable software by feedback loops. The
engine often describes the adaptation by runtime models
representing the adaptable software and by activities
such as analysis and planning that use these models. To
systematically address the interplay between runtime
models and adaptation activities, runtime megamodels
have been proposed. A runtime megamodel is a specific
model capturing runtime models and adaptation
activities. In this article, we go one step further and
present an executable modeling language for ExecUtable
RuntimE MegAmodels (EUREMA) that eases the development
of adaptation engines by following a model-driven
engineering approach. We provide a domain-specific
modeling language and a runtime interpreter for
adaptation engines, in particular feedback loops.
Megamodels are kept alive at runtime and by
interpreting them, they are directly executed to run
feedback loops. Additionally, they can be dynamically
adjusted to adapt feedback loops. Thus, EUREMA supports
development by making feedback loops explicit at a
higher level of abstraction and it enables solutions
where multiple feedback loops interact or operate on
top of each other and self-adaptation co-exists with
offline adaptation for evolution.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Xu:2014:AED,
author = "Shouhuai Xu and Wenlian Lu and Li Xu and Zhenxin
Zhan",
title = "Adaptive Epidemic Dynamics in Networks: Thresholds and
Control",
journal = j-TAAS,
volume = "8",
number = "4",
pages = "19:1--19:??",
month = jan,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555613",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:26 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Theoretical modeling of computer virus/worm epidemic
dynamics is an important problem that has attracted
many studies. However, most existing models are adapted
from biological epidemic ones. Although biological
epidemic models can certainly be adapted to capture
some computer virus spreading scenarios (especially
when the so-called homogeneity assumption holds), the
problem of computer virus spreading is not well
understood because it has many important perspectives
that are not necessarily accommodated in the biological
epidemic models. In this article, we initiate the study
of such a perspective, namely that of adaptive defense
against epidemic spreading in arbitrary networks. More
specifically, we investigate a nonhomogeneous
Susceptible-Infectious-Susceptible (SIS) model where
the model parameters may vary with respect to time. In
particular, we focus on two scenarios we call
semi-adaptive defense and fully adaptive defense, which
accommodate implicit and explicit dependency
relationships between the model parameters,
respectively. In the semi-adaptive defense scenario,
the model's input parameters are given; the defense is
semi-adaptive because the adjustment is implicitly
dependent upon the outcome of virus spreading. For this
scenario, we present a set of sufficient conditions
(some are more general or succinct than others) under
which the virus spreading will die out; such sufficient
conditions are also known as epidemic thresholds in the
literature. In the fully adaptive defense scenario,
some input parameters are not known (i.e., the
aforementioned sufficient conditions are not
applicable) but the defender can observe the outcome of
virus spreading. For this scenario, we present adaptive
control strategies under which the virus spreading will
die out or will be contained to a desired level.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Venkatasubramanian:2014:CAP,
author = "Krishna K. Venkatasubramanian and Tridib Mukherjee and
Sandeep K. S. Gupta",
title = "{CAAC} --- An Adaptive and Proactive Access Control
Approach for Emergencies in Smart Infrastructures",
journal = j-TAAS,
volume = "8",
number = "4",
pages = "20:1--20:??",
month = jan,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555614",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:26 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The article presents an access control model called
Criticality Aware Access Control (CAAC) for criticality
(emergency) management in smart infrastructures.
Criticalities are consequences of events which take a
system (in our case, a smart infrastructure) into an
unstable state. They require the execution of specific
response actions in order to bring them under control.
The principal aim of CAAC is to grant the right set of
access privileges (to facilitate response action
execution), at the right time, to the right set of
subjects, for the right duration, in order to control
the criticalities within the system. In this regard,
the CAAC model uses a stochastic model called the
Action Generation Model to determine the required
response actions for the combination of criticalities
present within the system. It then facilitates response
actions by adaptively altering the privileges to
specific subjects, in a proactive manner, without the
need for any explicit access requests. In this article,
we formalize the CAAC model and validate it based on
two design goals --- proactivity and adaptiveness.
Finally, we present a case study demonstrating CAAC's
operation on an oil-rig platform in order to aid in the
response to health- and fire-related criticalities.",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Chen:2014:HBA,
author = "Songqing Chen and Lei Liu and Xinyuan Wang and Xinwen
Zhang and Zhao Zhang",
title = "A Host-Based Approach for Unknown Fast-Spreading Worm
Detection and Containment",
journal = j-TAAS,
volume = "8",
number = "4",
pages = "21:1--21:??",
month = jan,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2555615",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 13 06:39:26 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib;
https://www.math.utah.edu/pub/tex/bib/virtual-machines.bib",
abstract = "The fast-spreading worm, which immediately propagates
itself after a successful infection, is becoming one of
the most serious threats to today's networked
information systems. In this article, we present
WormTerminator, a host-based solution for fast Internet
worm detection and containment with the assistance of
virtual machine techniques based on the fast-worm
defining characteristic. In WormTerminator, a virtual
machine cloning the host OS runs in parallel to the
host OS. Thus, the virtual machine has the same set of
vulnerabilities as the host. Any outgoing traffic from
the host is diverted through the virtual machine. If
the outgoing traffic from the host is for fast worm
propagation, the virtual machine should be infected and
will exhibit worm propagation pattern very quickly
because a fast-spreading worm will start to propagate
as soon as it successfully infects a host. To prove the
concept, we have implemented a prototype of
WormTerminator and have examined its effectiveness
against the real Internet worm Linux/Slapper. Our
empirical results confirm that WormTerminator is able
to completely contain worm propagation in real-time
without blocking any non-worm traffic. The major
performance cost of WormTerminator is a one-time delay
to the start of each outgoing normal connection for
worm detection. To reduce the performance overhead,
caching is utilized, through which WormTerminator will
delay no more than 6\% normal outgoing traffic for such
detection on average.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Peleteiro:2014:FCT,
author = "Ana Peleteiro and Juan C. Burguillo and Josep Ll.
Arcos and Juan A. Rodriguez-Aguilar",
title = "Fostering Cooperation through Dynamic Coalition
Formation and Partner Switching",
journal = j-TAAS,
volume = "9",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2567928",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Mar 21 17:55:35 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article we tackle the problem of maximizing
cooperation among self-interested agents in a resource
exchange environment. Our main concern is the design of
mechanisms for maximizing cooperation among
self-interested agents in a way that their profits
increase by exchanging or trading with resources.
Although dynamic coalition formation and partner
switching (rewiring) have been shown to promote the
emergence and maintenance of cooperation for
self-interested agents, no prior work in the literature
has investigated whether merging both mechanisms
exhibits positive synergies that lead to increase
cooperation even further. Therefore, we introduce and
analyze a novel dynamic coalition formation mechanism,
that uses partner switching, to help self-interested
agents to increase their profits in a resource exchange
environment. Our experiments show the effectiveness of
our mechanism at increasing the agents' profits, as
well as the emergence of trading as the preferred
behavior over different types of complex networks.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mencagli:2014:CPC,
author = "Gabriele Mencagli and Marco Vanneschi and Emanuele
Vespa",
title = "A Cooperative Predictive Control Approach to Improve
the Reconfiguration Stability of Adaptive Distributed
Parallel Applications",
journal = j-TAAS,
volume = "9",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2567929",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Mar 21 17:55:35 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Adaptiveness in distributed parallel applications is a
key feature to provide satisfactory performance results
in the face of unexpected events such as workload
variations and time-varying user requirements. The
adaptation process is based on the ability to change
specific characteristics of parallel components (e.g.,
their parallelism degree) and to guarantee that such
modifications of the application configuration are
effective and durable. Reconfigurations often incur a
cost on the execution (a performance overhead and/or an
economic cost). For this reason advanced adaptation
strategies have become of paramount importance.
Effective strategies must achieve properties like
control optimality (making decisions that optimize the
global application QoS), reconfiguration stability
expressed in terms of the average time between
consecutive reconfigurations of the same component, and
optimizing the reconfiguration amplitude (number of
allocated/deallocated resources). To control such
parameters, in this article we propose a method based
on a Cooperative Model-based Predictive Control
approach in which application controllers cooperate to
make optimal reconfigurations and taking account of the
durability and amplitude of their control decisions.
The effectiveness and the feasibility of the
methodology is demonstrated through experiments
performed in a simulation environment and by comparing
it with other existing techniques.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Barna:2014:MAU,
author = "Cornel Barna and Mark Shtern and Michael Smit and
Vassilios Tzerpos and Marin Litoiu",
title = "Mitigating {DoS} Attacks Using Performance
Model-Driven Adaptive Algorithms",
journal = j-TAAS,
volume = "9",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2567926",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Mar 21 17:55:35 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Denial of Service (DoS) attacks overwhelm online
services, preventing legitimate users from accessing a
service, often with impact on revenue or consumer
trust. Approaches exist to filter network-level
attacks, but application-level attacks are harder to
detect at the firewall. Filtering at this level can be
computationally expensive and difficult to scale, while
still producing false positives that block legitimate
users. This article presents a model-based adaptive
architecture and algorithm for detecting DoS attacks at
the web application level and mitigating them. Using a
performance model to predict the impact of arriving
requests, a decision engine adaptively generates rules
for filtering traffic and sending suspicious traffic
for further review, where the end user is given the
opportunity to demonstrate they are a legitimate user.
If no legitimate user responds to the challenge, the
request is dropped. Experiments performed on a scalable
implementation demonstrate effective mitigation of
attacks launched using a real-world DoS attack tool.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Dai:2014:BAN,
author = "Y. S. Dai and Y. P. Xiang and Y. Pan",
title = "Bionic Autonomic Nervous Systems for Self-Defense
against {DoS}, Spyware, Malware, Virus, and Fishing",
journal = j-TAAS,
volume = "9",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2567924",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Mar 21 17:55:35 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Computing systems and networks become increasingly
large and complex with a variety of compromises and
vulnerabilities. The network security and privacy are
of great concern today, where self-defense against
different kinds of attacks in an autonomous and
holistic manner is a challenging topic. To address this
problem, we developed an innovative technology called
Bionic Autonomic Nervous System (BANS). The BANS is
analogous to biological nervous system, which consists
of basic modules like cyber axon, cyber neuron,
peripheral nerve and central nerve. We also presented
an innovative self-defense mechanism which utilizes the
Fuzzy Logic, Neural Networks, and Entropy Awareness,
etc. Equipped with the BANS, computer and network
systems can intelligently self-defend against both
known and unknown compromises/attacks including denial
of services (DoS), spyware, malware, and virus. BANS
also enabled multiple computers to collaboratively
fight against some distributed intelligent attacks like
DDoS. We have implemented the BANS in practice. Some
case studies and experimental results exhibited the
effectiveness and efficiency of the BANS and the
self-defense mechanism.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Luo:2014:MDA,
author = "Jiaqing Luo and Bin Xiao and Qingjun Xiao and Jiannong
Cao and Minyi Guo",
title = "Modeling and Defending against Adaptive {BitTorrent}
Worms in Peer-to-Peer Networks",
journal = j-TAAS,
volume = "9",
number = "1",
pages = "5:1--5:??",
month = mar,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2567925",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Mar 21 17:55:35 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "BitTorrent (BT) is one of the most common Peer-to-Peer
(P2P) file sharing protocols. Rather than downloading a
file from a single source, the protocol allows users to
join a swarm of peers to download and upload from each
other simultaneously. Worms exploiting information from
BT servers or trackers can cause serious damage to
participating peers, which unfortunately has been
neglected previously. In this article, we first present
a new worm, called Adaptive BitTorrent worm (A-BT
worm), which finds new victims and propagates sending
forged requests to trackers. To reduce its abnormal
behavior, the worm estimates the ratio of infected
peers and adaptively adjusts its propagation speed. We
then build a hybrid model to precisely characterize the
propagation behavior of the worm. We also propose a
statistical method to automatically detect the worm
from the tracker by estimating the variance of the time
intervals of requests. To slow down the worm
propagation, we design a safe strategy in which the
tracker returns secured peers when receives a request.
Finally, we evaluate the accuracy of the hybrid model,
and the effectiveness of our detection method and
containment strategy through simulations.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Fernandez-Marquez:2014:BAS,
author = "Jose Luis Fernandez-Marquez and Mirko Viroli and
Gabriella Castelli",
title = "Best {ACM SAC} Articles on Coordination and
Self-Adaptation",
journal = j-TAAS,
volume = "9",
number = "2",
pages = "6:1--6:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2628613",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jul 8 16:04:06 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{DeNicola:2014:FAA,
author = "Rocco {De Nicola} and Michele Loreti and Rosario
Pugliese and Francesco Tiezzi",
title = "A Formal Approach to Autonomic Systems Programming:
The {SCEL} Language",
journal = j-TAAS,
volume = "9",
number = "2",
pages = "7:1--7:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2619998",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jul 8 16:04:06 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The autonomic computing paradigm has been proposed to
cope with size, complexity, and dynamism of
contemporary software-intensive systems. The challenge
for language designers is to devise appropriate
abstractions and linguistic primitives to deal with the
large dimension of systems and with their need to adapt
to the changes of the working environment and to the
evolving requirements. We propose a set of programming
abstractions that permit us to represent behaviors,
knowledge, and aggregations according to specific
policies and to support programming context-awareness,
self-awareness, and adaptation. Based on these
abstractions, we define SCEL (Software Component
Ensemble Language), a kernel language whose solid
semantic foundations lay also the basis for formal
reasoning on autonomic systems behavior. To show
expressiveness and effectiveness of SCEL;'s design, we
present a Java implementation of the proposed
abstractions and show how it can be exploited for
programming a robotics scenario that is used as a
running example for describing the features and
potential of our approach.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Harnie:2014:PUA,
author = "Dries Harnie and Elisa Gonzalez Boix and Theo D'Hondt
and Wolfgang {De Meuter}",
title = "Programming Urban-Area Applications by Exploiting
Public Transportation",
journal = j-TAAS,
volume = "9",
number = "2",
pages = "8:1--8:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2619999",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jul 8 16:04:06 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The evolution of smartphones has given rise to
urban-area applications: applications that communicate
in a city by means of the public (moving)
infrastructure (e.g., buses and trams). In this
setting, applications need to communicate with and
discover each other using intermediaries that move
around the city and transfer data between them. This
requires programmers to scatter code that deals with
routing messages to the correct place and deal with
network failures all over their programs. Our approach
allows the programmer to specify urban-area
applications in a high-level manner without the burden
of directly encoding communication using
intermediaries. We present this as a translation from a
high-level object-oriented programming paradigm to a
low-level communication mechanism. This translation
allows the programmer to restrict routing of messages
to, for example, a certain number of hops, geographic
areas, or even types of carrier devices. In addition,
we show how high-level group messaging can be
efficiently represented in the low-level communication.
Finally, we document our experiences in setting up a
small-scale real-world urban-area application.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kalyvianaki:2014:ARP,
author = "Evangelia Kalyvianaki and Themistoklis Charalambous
and Steven Hand",
title = "Adaptive Resource Provisioning for Virtualized Servers
Using {Kalman} Filters",
journal = j-TAAS,
volume = "9",
number = "2",
pages = "10:1--10:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2626290",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jul 8 16:04:06 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Resource management of virtualized servers in data
centers has become a critical task, since it enables
cost-effective consolidation of server applications.
Resource management is an important and challenging
task, especially for multitier applications with
unpredictable time-varying workloads. Work in resource
management using control theory has shown clear
benefits of dynamically adjusting resource allocations
to match fluctuating workloads. However, little work
has been done toward adaptive controllers for unknown
workload types. This work presents a new resource
management scheme that incorporates the Kalman filter
into feedback controllers to dynamically allocate CPU
resources to virtual machines hosting server
applications. We present a set of controllers that
continuously detect and self-adapt to unforeseen
workload changes. Furthermore, our most advanced
controller also self-configures itself without any a
priori information and with a small 4.8\% performance
penalty in the case of high-intensity workload changes.
In addition, our controllers are enhanced to deal with
multitier server applications: by using the pair-wise
resource coupling between tiers, they improve server
response to large workload increases as compared to
controllers with no such resource-coupling mechanism.
Our approaches are evaluated and their performance is
illustrated on a 3-tier Rubis benchmark website
deployed on a prototype Xen-virtualized cluster.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Didona:2014:TAS,
author = "Diego Didona and Paolo Romano and Sebastiano Peluso
and Francesco Quaglia",
title = "{Transactional Auto Scaler}: Elastic Scaling of
Replicated In-Memory Transactional Data Grids",
journal = j-TAAS,
volume = "9",
number = "2",
pages = "11:1--11:??",
month = jul,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2620001",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jul 8 16:04:06 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we introduce TAS (Transactional Auto
Scaler), a system for automating the elastic scaling of
replicated in-memory transactional data grids, such as
NoSQL data stores or Distributed Transactional
Memories. Applications of TAS range from online
self-optimization of in-production applications to the
automatic generation of QoS/cost-driven elastic scaling
policies, as well as to support for what-if analysis on
the scalability of transactional applications. In this
article, we present the key innovation at the core of
TAS, namely, a novel performance forecasting
methodology that relies on the joint usage of
analytical modeling and machine learning. By exploiting
these two classically competing approaches in a
synergic fashion, TAS achieves the best of the two
worlds, namely, high extrapolation power and good
accuracy, even when faced with complex workloads
deployed over public cloud infrastructures. We
demonstrate the accuracy and feasibility of TAS's
performance forecasting methodology via an extensive
experimental study based on a fully fledged prototype
implementation integrated with a popular open-source
in-memory transactional data grid (Red Hat's
Infinispan) and industry-standard benchmarks generating
a breadth of heterogeneous workloads.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Val:2014:UBM,
author = "Elena {Del Val} and Miguel Rebollo and Mateo Vasirani
and Alberto Fern{\'a}ndez",
title = "Utility-Based Mechanism for Structural
Self-Organization in Service-Oriented {MAS}",
journal = j-TAAS,
volume = "9",
number = "3",
pages = "12:1--12:??",
month = oct,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2651423",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 7 18:42:17 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Structural relations established among agents
influence the performance of decentralized service
discovery process in multiagent systems. Moreover,
distributed systems should be able to adapt their
structural relations to changes in environmental
conditions. In this article, we present a
service-oriented multiagent systems, where agents
initially self-organize their structural relations
based on the similarity of their services. During the
service discovery process, agents integrate a mechanism
that facilitates the self-organization of their
structural relations to adapt the structure of the
system to the service demand. This mechanism
facilitates the task of decentralized service discovery
and improves its performance. Each agent has local
knowledge about its direct neighbors and the queries
received during discovery processes. With this
information, an agent is able to analyze its structural
relations and decide when it is more appropriate to
modify its direct neighbors and select the most
suitable acquaintances to replace them. The
experimental evaluation shows how this
self-organization mechanism improves the overall
performance of the service discovery process in the
system when the service demand changes.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Grozev:2014:MCP,
author = "Nikolay Grozev and Rajkumar Buyya",
title = "Multi-Cloud Provisioning and Load Distribution for
Three-Tier Applications",
journal = j-TAAS,
volume = "9",
number = "3",
pages = "13:1--13:??",
month = oct,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2662112",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 7 18:42:17 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Cloud data centers are becoming the preferred
deployment environment for a wide range of business
applications because they provide many benefits
compared to private in-house infrastructure. However,
the traditional approach of using a single cloud has
several limitations in terms of availability, avoiding
vendor lock-in, and providing legislation-compliant
services with suitable Quality of Experience (QoE) to
users worldwide. One way for cloud clients to mitigate
these issues is to use multiple clouds (i.e., a
Multi-Cloud). In this article, we introduce an approach
for deploying three-tier applications across multiple
clouds in order to satisfy their key nonfunctional
requirements. We propose adaptive, dynamic, and
reactive resource provisioning and load distribution
algorithms that heuristically optimize overall cost and
response delays without violating essential legislative
and regulatory requirements. Our simulation with
realistic workload, network, and cloud characteristics
shows that our method improves the state of the art in
terms of availability, regulatory compliance, and QoE
with acceptable sacrifice in cost and latency.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Pitt:2014:DJS,
author = "Jeremy Pitt and D{\'\i}dac Busquets and Sam Macbeth",
title = "Distributive Justice for Self-Organised Common-Pool
Resource Management",
journal = j-TAAS,
volume = "9",
number = "3",
pages = "14:1--14:??",
month = oct,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629567",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 7 18:42:17 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we complement Elinor Ostrom's
institutional design principles for enduring
common-pool resource management with Nicholas Rescher's
theory of distributive justice based on the canon of
legitimate claims. Two of Ostrom's principles are that
the resource allocation method should be congruent with
the local environment, and that those affected by the
allocation method (the appropriators) should
participate in its selection. However, these principles
do not say anything explicitly about the fairness of
the allocation method or the outcomes it produces: for
this, we need a mechanism for distributive justice.
Rescher identified a number of different mechanisms,
each of which had both its merits and demerits, and
instead maintained that distributive justice consisted
in identifying the legitimate claims in context,
accommodating multiple claims in case of plurality, and
reconciling them in case of conflict. Accordingly, we
specify a logical axiomatisation of the principles with
the canon of legitimate claims, whereby a set of claims
is each represented as a voting function, which
collectively determine the rank order in which
resources are allocated. The appropriators vote on the
weight attached to the scoring functions, and so
self-organise the allocation method, taking into
account both the plurality of and conflict between the
claims. Therefore, the appropriators exercise
collective choice over the method, and the method
itself is congruent with the local environment, taking
into account both the resources available and the
relative claims of the appropriators. Experiments with
a variant of the linear public good game show that this
pluralistic self-organising approach produces a better
balance of utility and fairness (for agents that comply
with the rules of the game) compared to monistic or
fixed approaches, provide ``fairness over time'' (a
series of ostensibly unfair individual allocations is
revealed to be cumulatively fair), and offer an
intuition of how to resolve the free-rider phenomenon
in provision and appropriation of common-pool
resources.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Chen:2014:CAM,
author = "Jingshu Chen and Ali Ebnenasir and Sandeep Kulkarni",
title = "The Complexity of Adding Multitolerance",
journal = j-TAAS,
volume = "9",
number = "3",
pages = "15:1--15:??",
month = oct,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629664",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 7 18:42:17 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We focus on the problem of adding multitolerance to an
existing fault-intolerant program. A multitolerant
program tolerates multiple classes of faults and
provides a potentially different level of fault
tolerance to each of them. We consider three levels of
fault tolerance, namely failsafe (i.e., satisfy safety
in the presence of faults), nonmasking (i.e., recover
to legitimate states after the occurrence of faults),
and masking (both). For the case where the program is
subject to two classes of faults, we consider six
categories of multitolerant programs-FF, FN, FM, MM,
MN, and NN, where F, N, and M represent failsafe,
nonmasking, and masking levels of tolerance provided to
each class of fault. We show that the problem of adding
FF, NN, and MN multitolerance can be solved in
polynomial time (in the state space of the program).
However, the problem is NP-complete for adding FN, MM,
and FM multitolerance. We note that the hardness of
adding MM and FM multitolerance is especially atypical
given that MM and FM multitolerance can be added
efficiently under more restricted scenarios where
multiple faults occur simultaneously in the same
computation. We also present heuristics for managing
the complexity of MM multitolerance. Finally, we
present real-world multitolerant programs and discuss
the trade-off involved in design decisions while
developing such programs.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Chen:2014:IAB,
author = "Siqi Chen and Gerhard Weiss",
title = "An Intelligent Agent for Bilateral Negotiation with
Unknown Opponents in Continuous-Time Domains",
journal = j-TAAS,
volume = "9",
number = "3",
pages = "16:1--16:??",
month = oct,
year = "2014",
CODEN = "????",
DOI = "https://doi.org/10.1145/2629577",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 7 18:42:17 MDT 2014",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Automated negotiation among self-interested autonomous
agents has gained tremendous attention due to the
diversity of its broad range of potential real-world
applications. This article deals with a prominent type
of such negotiations, namely, multiissue negotiation
that runs under continuous-time constraints and in
which the negotiating agents have no prior knowledge
about their opponents' preferences and strategies. A
negotiation strategy called Dragon is described that
employs sparse pseudoinput Gaussian processes.
Specifically, Dragon enables an agent (1) to precisely
model the behavior of its opponents with comparably low
computational load and (2) to make decisions
effectively and adaptively in very complex negotiation
settings. Extensive experimental results, based on a
number of negotiation scenarios and state-of-the-art
negotiating agents from Automated Negotiating Agents
Competitions, are provided. Moreover, the robustness of
our strategy is evaluated through both empirical
game-theoretic and spatial evolutionary game-theoretic
analysis.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Brambilla:2015:PDD,
author = "Manuele Brambilla and Arne Brutschy and Marco Dorigo
and Mauro Birattari",
title = "Property-Driven Design for Robot Swarms: a Design
Method Based on Prescriptive Modeling and Model
Checking",
journal = j-TAAS,
volume = "9",
number = "4",
pages = "17:1--17:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2700318",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jan 21 08:04:22 MST 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we present property-driven design, a
novel top-down design method for robot swarms based on
prescriptive modeling and model checking.
Traditionally, robot swarms have been developed using a
code-and-fix approach: in a bottom-up iterative
process, the developer tests and improves the
individual behaviors of the robots until the desired
collective behavior is obtained. The code-and-fix
approach is unstructured, and the quality of the
obtained swarm depends completely on the expertise and
ingenuity of the developer who has little scientific or
technical support in his activity. Property-driven
design aims at providing such scientific and technical
support, with many advantages compared to the
traditional unstructured approach. Property-driven
design is composed of four phases: first, the developer
formally specifies the requirements of the robot swarm
by stating its desired properties; second, the
developer creates a prescriptive model of the swarm and
uses model checking to verify that this prescriptive
model satisfies the desired properties; third, using
the prescriptive model as a blueprint, the developer
implements a simulated version of the desired robot
swarm and validates the prescriptive model developed in
the previous step; fourth, the developer implements the
desired robot swarm and validates the previous steps.
We demonstrate property-driven design using two case
studies: aggregation and foraging.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kraemer:2015:RLI,
author = "Landon Kraemer and Bikramjit Banerjee",
title = "Reinforcement Learning of Informed Initial Policies
for Decentralized Planning",
journal = j-TAAS,
volume = "9",
number = "4",
pages = "18:1--18:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2668130",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jan 21 08:04:22 MST 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Decentralized partially observable Markov decision
processes (Dec-POMDPs) offer a formal model for
planning in cooperative multiagent systems where agents
operate with noisy sensors and actuators, as well as
local information. Prevalent solution techniques are
centralized and model based-limitations that we address
by distributed reinforcement learning (RL). We
particularly favor alternate learning, where agents
alternately learn best responses to each other, which
appears to outperform concurrent RL. However, alternate
learning requires an initial policy. We propose two
principled approaches to generating informed initial
policies: a naive approach that lays the foundation for
a more sophisticated approach. We empirically
demonstrate that the refined approach produces
near-optimal solutions in many challenging benchmark
settings, staking a claim to being an efficient (and
realistic) approximate solver in its own right.
Furthermore, alternate best response learning seeded
with such policies quickly learns high-quality policies
as well.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Paiva:2015:ASS,
author = "Jo{\~a}o Paiva and Pedro Ruivo and Paolo Romano and
Lu{\'\i}s Rodrigues",
title = "{AutoPlacer}: Scalable Self-Tuning Data Placement in
Distributed Key-Value Stores",
journal = j-TAAS,
volume = "9",
number = "4",
pages = "19:1--19:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2641573",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jan 21 08:04:22 MST 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article addresses the problem of self-tuning the
data placement in replicated key-value stores. The goal
is to automatically optimize replica placement in a way
that leverages locality patterns in data accesses, such
that internode communication is minimized. To do this
efficiently is extremely challenging, as one needs not
only to find lightweight and scalable ways to identify
the right assignment of data replicas to nodes but also
to preserve fast data lookup. The article introduces
new techniques that address these challenges. The first
challenge is addressed by optimizing, in a
decentralized way, the placement of the objects
generating the largest number of remote operations for
each node. The second challenge is addressed by
combining the usage of consistent hashing with a novel
data structure, which provides efficient probabilistic
data placement. These techniques have been integrated
in a popular open-source key-value store. The
performance results show that the throughput of the
optimized system can be six times better than a
baseline system employing the widely used static
placement based on consistent hashing.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Hao:2015:MRS,
author = "Jianye Hao and Ho-Fung Leung and Zhong Ming",
title = "Multiagent Reinforcement Social Learning toward
Coordination in Cooperative Multiagent Systems",
journal = j-TAAS,
volume = "9",
number = "4",
pages = "20:1--20:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2644819",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jan 21 08:04:22 MST 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Most previous works on coordination in cooperative
multiagent systems study the problem of how two (or
more) players can coordinate on Pareto-optimal Nash
equilibrium(s) through fixed and repeated interactions
in the context of cooperative games. However, in
practical complex environments, the interactions
between agents can be sparse, and each agent's
interacting partners may change frequently and
randomly. To this end, we investigate the multiagent
coordination problems in cooperative environments under
a social learning framework. We consider a large
population of agents where each agent interacts with
another agent randomly chosen from the population in
each round. Each agent learns its policy through
repeated interactions with the rest of the agents via
social learning. It is not clear a priori if all agents
can learn a consistent optimal coordination policy in
such a situation. We distinguish two different types of
learners depending on the amount of information each
agent can perceive: individual action learner and joint
action learner. The learning performance of both types
of learners is evaluated under a number of challenging
deterministic and stochastic cooperative games, and the
influence of the information sharing degree on the
learning performance also is investigated-a key
difference from the learning framework involving
repeated interactions among fixed agents.",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Lee:2015:DDC,
author = "Eun Kyung Lee and Hariharasudhan Viswanathan and Dario
Pompili",
title = "Distributed Data-Centric Adaptive Sampling for
Cyber-Physical Systems",
journal = j-TAAS,
volume = "9",
number = "4",
pages = "21:1--21:??",
month = jan,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2644820",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jan 21 08:04:22 MST 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A data-centric joint adaptive sampling and sleep
scheduling solution, SILENCE, for autonomic
sensor-based systems that monitor and reconstruct
physical or environmental phenomena is proposed.
Adaptive sampling and sleep scheduling can help realize
the much needed resource efficiency by minimizing the
communication and processing overhead in densely
deployed autonomic sensor-based systems. The proposed
solution exploits the spatiotemporal correlation in
sensed data and eliminates redundancy in transmitted
data through selective representation without
compromising on accuracy of reconstruction of the
monitored phenomenon at a remote monitor node.
Differently from existing adaptive sampling solutions,
SILENCE employs temporal causality analysis to not only
track the variation in the underlying phenomenon but
also its cause and direction of propagation in the
field. The causality analysis and the same correlations
are then leveraged for adaptive sleep scheduling aimed
at saving energy in wireless sensor networks (WSNs).
SILENCE outperforms traditional adaptive sampling
solutions as well as the recently proposed compressive
sampling techniques. Real experiments were performed on
a WSN testbed monitoring temperature and humidity
distribution in a rack of servers, and the simulations
were performed on TOSSIM, the TinyOS simulator.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Castelli:2015:EPS,
author = "Gabriella Castelli and Marco Mamei and Alberto Rosi
and Franco Zambonelli",
title = "Engineering Pervasive Service Ecosystems: The {SAPERE}
Approach",
journal = j-TAAS,
volume = "10",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2700321",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 26 05:48:20 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Emerging pervasive computing services will typically
involve a large number of devices and service
components cooperating together in an open and dynamic
environment. This calls for suitable models and
infrastructures promoting spontaneous, situated, and
self-adaptive interactions between components. SAPERE
(Self-Aware Pervasive Service Ecosystems) is a general
coordination framework aimed at facilitating the
decentralized and situated execution of self-organizing
and self-adaptive pervasive computing services. SAPERE
adopts a nature-inspired approach, in which pervasive
services are modeled and deployed as autonomous
individuals in an ecosystem of other services and
devices, all of which interact in accord to a limited
set of coordination laws, or eco-laws. In this article,
we present the overall rationale underlying SAPERE and
its reference architecture. We introduce the
eco-laws--based coordination model and show how it can
be used to express and easily enforce general-purpose
self-organizing coordination patterns. The middleware
infrastructure supporting the SAPERE model is presented
and evaluated, and the overall advantages of SAPERE are
discussed in the context of exemplary use cases.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Morales:2015:OAS,
author = "Javier Morales and Maite L{\'o}pez-s{\'a}nchez and
Juan A. Rodriguez-Aguilar and Wamberto Vasconcelos and
Michael Wooldridge",
title = "Online Automated Synthesis of Compact Normative
Systems",
journal = j-TAAS,
volume = "10",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2720024",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 26 05:48:20 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Most normative systems make use of explicit
representations of norms (namely, obligations,
prohibitions, and permissions) and associated
mechanisms to support the self-regulation of open
societies of self-interested and autonomous agents. A
key problem in research on normative systems is that of
how to synthesise effective and efficient norms.
Manually designing norms is time consuming and error
prone. An alternative is to automatically synthesise
norms. However, norm synthesis is a computationally
complex problem. We present a novel online norm
synthesis mechanism, designed to synthesise compact
normative systems. It yields normative systems composed
of concise (simple) norms that effectively coordinate a
multiagent system (MAS) without lapsing into
overregulation. Our mechanism is based on a central
authority that monitors a MAS, searching for undesired
states. After detecting undesirable states, the central
authority then synthesises norms aimed to avoid them in
the future. We demonstrate the effectiveness of our
approach through experimental results.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Jiang:2015:RTA,
author = "Yichuan Jiang and Yifeng Zhou and Yunpeng Li",
title = "Reliable Task Allocation with Load Balancing in
Multiplex Networks",
journal = j-TAAS,
volume = "10",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2700327",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 26 05:48:20 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In multiplex networks, agents are connected by
multiple types of links; a multiplex network can be
split into more than one network layer that is composed
of the same type of links and involved agents. Each
network link type has a bias for communicating
different types of resources; thus, the task's access
to the required resources in multiplex networks is
strongly related to the network link types. However,
traditional task allocation and load balancing methods
only considered the situations of agents themselves and
did not address the effects of network link types in
multiplex networks. To solve this problem, this article
considers both link types and agents, and substantially
extends the existing work by highlighting the effect of
network layers on task allocation and load balancing.
Two multiplex network-adapted models of task allocation
with load balancing are presented: network
layer-oriented allocation and agent-oriented
allocation. This article also addresses the
unreliability in multiplex networks, which includes the
unreliable links and agents, and implements a reliable
task allocation based on a negotiation reputation and
reward mechanism. Our findings show that both of our
presented models can effectively and robustly satisfy
the task allocation objectives in unreliable multiplex
networks; the experiments prove that they can
significantly reduce the time costs and improve the
success rate of tasks for multiplex networks over the
traditional simplex network-adapted task allocation
model. Lastly, we find that our presented network
layer-oriented allocation performs much better in terms
of reliability and allocation time compared to our
presented agent-oriented allocation, which further
explains the importance of network layers in multiplex
networks.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Magalhaes:2015:SWS,
author = "Jo{\~a}o Paulo Magalh{\~a}es and Luis Moura Silva",
title = "{SH{\~o} WA}: a Self-Healing Framework for {Web}-Based
Applications",
journal = j-TAAS,
volume = "10",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2700325",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 26 05:48:20 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The complexity of systems is considered an obstacle to
the progress of the IT industry. Autonomic computing is
presented as the alternative to cope with the growing
complexity. It is a holistic approach, in which the
systems are able to configure, heal, optimize, and
protect by themselves. Web-based applications are an
example of systems where the complexity is high. The
number of components, their interoperability, and
workload variations are factors that may lead to
performance failures or unavailability scenarios. The
occurrence of these scenarios affects the revenue and
reputation of businesses that rely on these types of
applications. In this article, we present a
self-healing framework for Web-based applications (
SH{\~o} WA). SH{\~o} WA is composed by several modules,
which monitor the application, analyze the data to
detect and pinpoint anomalies, and execute recovery
actions autonomously. The monitoring is done by a small
aspect-oriented programming agent. This agent does not
require changes to the application source code and
includes adaptive and selective algorithms to regulate
the level of monitoring. The anomalies are detected and
pinpointed by means of statistical correlation. The
data analysis detects changes in the server response
time and analyzes if those changes are correlated with
the workload or are due to a performance anomaly. In
the presence of performance anomalies, the data
analysis pinpoints the anomaly. Upon the pinpointing of
anomalies, SH{\~o} WA executes a recovery procedure. We
also present a study about the detection and
localization of anomalies, the accuracy of the data
analysis, and the performance impact induced by SH{\~o}
WA. Two benchmarking applications, exercised through
dynamic workloads, and different types of anomaly were
considered in the study. The results reveal that (1)
the capacity of SH{\~o} WA to detect and pinpoint
anomalies while the number of end users affected is
low; (2) SH{\~o} WA was able to detect anomalies
without raising any false alarm; and (3) SH{\~o} WA
does not induce a significant performance overhead
(throughput was affected in less than 1\%, and the
response time delay was no more than 2 milliseconds).",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Vrancx:2015:RLA,
author = "Peter Vrancx and Pasquale Gurzi and Abdel Rodriguez
and Kris Steenhaut and Ann Now{\'e}",
title = "A Reinforcement Learning Approach for Interdomain
Routing with Link Prices",
journal = j-TAAS,
volume = "10",
number = "1",
pages = "5:1--5:??",
month = mar,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2719648",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 26 05:48:20 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In today's Internet, the commercial aspects of routing
are gaining importance. Current technology allows
Internet Service Providers (ISPs) to renegotiate
contracts online to maximize profits. Changing link
prices will influence interdomain routing policies that
are now driven by monetary aspects as well as global
resource and performance optimization. In this article,
we consider an interdomain routing game in which the
ISP's action is to set the price for its transit links.
Assuming a cheapest path routing scheme, the optimal
action is the price setting that yields the highest
utility (i.e., profit) and depends both on the network
load and the actions of other ISPs. We adapt a
continuous and a discrete action learning automaton
(LA) to operate in this framework as a tool that can be
used by ISP operators to learn optimal price setting.
In our model, agents representing different ISPs learn
only on the basis of local information and do not need
any central coordination or sensitive information
exchange. Simulation results show that a single ISP
employing LAs is able to learn the optimal price in a
stationary environment. By introducing a selective
exploration rule, LAs are also able to operate in
nonstationary environments. When two ISPs employ LAs,
we show that they converge to stable and fair
equilibrium strategies.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Cheng:2015:STB,
author = "Dazhao Cheng and Yanfei Guo and Changjun Jiang and
Xiaobo Zhou",
title = "Self-Tuning Batching with {DVFS} for Performance
Improvement and Energy Efficiency in {Internet}
Servers",
journal = j-TAAS,
volume = "10",
number = "1",
pages = "6:1--6:??",
month = mar,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2720023",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 26 05:48:20 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Performance improvement and energy efficiency are two
important goals in provisioning Internet services in
datacenter servers. In this article, we propose and
develop a self-tuning request batching mechanism to
simultaneously achieve the two correlated goals. The
batching mechanism increases the cache hit rate at the
front-tier Web server, which provides the opportunity
to improve an application's performance and the energy
efficiency of the server system. The core of the
batching mechanism is a novel and practical two-layer
control system that adaptively adjusts the batching
interval and frequency states of CPUs according to the
service level agreement and the workload
characteristics. The batching control adopts a
self-tuning fuzzy model predictive control approach for
application performance improvement. The power control
dynamically adjusts the frequency of Central Processing
Units (CPUs) with Dynamic Voltage and Frequency Scaling
(DVFS) in response to workload fluctuations for energy
efficiency. A coordinator between the two control loops
achieves the desired performance and energy efficiency.
We further extend the self-tuning batching with DVFS
approach from a single-server system to a multiserver
system. It relies on a MIMO expert fuzzy control to
adjust the CPU frequencies of multiple servers and
coordinate the frequency states of CPUs at different
tiers. We implement the mechanism in a test bed.
Experimental results demonstrate that the new approach
significantly improves the application performance in
terms of the system throughput and average response
time. At the same time, the results also illustrate the
mechanism can reduce the energy consumption of a
single-server system by 13\% and a multiserver system
by 11\%, respectively.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Pitt:2015:SSR,
author = "Jeremy Pitt and Tom Holvoet",
title = "{SASO 2013}: Selected, Revised, and Extended Best
Papers",
journal = j-TAAS,
volume = "10",
number = "2",
pages = "7:1--7:??",
month = jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2746344",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jun 10 08:01:03 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "IEEE SASO (Self-Adapting and Self-Organizing Systems)
is the premier international conference for computer
systems and networks that autonomously change some
aspect of themselves: code, form, function, shape,
structure, components, and so on. Over the past 10
years, it has emerged as a key multidisciplinary event
for sharing theoretical insights and technical
innovations across the numerous scientific fields and
application domains impacted by this research. In 2013,
the conference was hosted by Drexel University in
Philadelphia, Pennsylvania, and offered an extensive
program of high-quality papers. This special issue of
ACM TAAS presents selected, revised, and extended best
articles, which showcase the rich variety and depth of
the SASO scientific community.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Lewis:2015:SDA,
author = "Peter R. Lewis and Lukas Esterle and Arjun Chandra and
Bernhard Rinner and Jim Torresen and Xin Yao",
title = "Static, Dynamic, and Adaptive Heterogeneity in
Distributed Smart Camera Networks",
journal = j-TAAS,
volume = "10",
number = "2",
pages = "8:1--8:??",
month = jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2764460",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jun 10 08:01:03 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We study heterogeneity among nodes in self-organizing
smart camera networks, which use strategies based on
social and economic knowledge to target communication
activity efficiently. We compare homogeneous
configurations, when cameras use the same strategy,
with heterogeneous configurations, when cameras use
different strategies. Our first contribution is to
establish that static heterogeneity leads to new
outcomes that are more efficient than those possible
with homogeneity. Next, two forms of dynamic
heterogeneity are investigated: nonadaptive mixed
strategies and adaptive strategies, which learn online.
Our second contribution is to show that mixed
strategies offer Pareto efficiency consistently
comparable with the most efficient static heterogeneous
configurations. Since the particular configuration
required for high Pareto efficiency in a scenario will
not be known in advance, our third contribution is to
show how decentralized online learning can lead to more
efficient outcomes than the homogeneous case. In some
cases, outcomes from online learning were more
efficient than all other evaluated configuration types.
Our fourth contribution is to show that online learning
typically leads to outcomes more evenly spread over the
objective space. Our results provide insight into the
relationship between static, dynamic, and adaptive
heterogeneity, suggesting that all have a key role in
achieving efficient self-organization.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Frey:2015:GHC,
author = "Sylvain Frey and Ada Diaconescu and David Menga and
Isabelle Demeure",
title = "A Generic Holonic Control Architecture for
Heterogeneous Multiscale and Multiobjective Smart
Microgrids",
journal = j-TAAS,
volume = "10",
number = "2",
pages = "9:1--9:??",
month = jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2700326",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jun 10 08:01:03 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Designing the control infrastructure of future
``smart'' power grids is a challenging task. Future
grids will integrate a wide variety of heterogeneous
producers and consumers that are unpredictable and
operate at various scales. Information and
Communication Technology (ICT) solutions will have to
control these in order to attain global objectives at
the macrolevel, while also considering private
interests at the microlevel. This article proposes a
generic holonic architecture to help the development of
ICT control systems that meet these requirements. We
show how this architecture can integrate heterogeneous
control designs, including state-of-the-art smart grid
solutions. To illustrate the applicability and utility
of this generic architecture, we exemplify its use via
a concrete proof-of-concept implementation for a
holonic controller, which integrates two types of
control solutions and manages a multiscale,
multiobjective grid simulator in several scenarios. We
believe that the proposed contribution is essential for
helping to understand, to reason about, and to develop
the ``smart'' side of future power grids.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Beal:2015:SDM,
author = "Jacob Beal",
title = "Superdiffusive Dispersion and Mixing of Swarms",
journal = j-TAAS,
volume = "10",
number = "2",
pages = "10:1--10:??",
month = jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2700322",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jun 10 08:01:03 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A common swarm task is to disperse evenly through an
environment from an initial tightly packed formation.
Due to communication and sensing limitations, it is
often necessary to execute this task with little or no
communication between swarm members. Unfortunately,
prior approaches based on repulsive forces or uniform
random walks can often converge quite slowly. With an
appropriate choice of random distribution, however, it
is possible to generate optimal or near-optimal
dispersion and mixing in swarms with zero
communication. In particular, we discuss three
extremely simple algorithms: reactive Levy walk,
reactive ball dispersion, and purely reactive
dispersion. All three algorithms vastly outperform
prior approaches in both constrained and unconstrained
environments, providing a range of options for trading
off between aggressiveness and evenness in
dispersion.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Anders:2015:CRA,
author = "Gerrit Anders and Alexander Schiendorfer and Florian
Siefert and Jan-Philipp Stegh{\"o}fer and Wolfgang
Reif",
title = "Cooperative Resource Allocation in Open Systems of
Systems",
journal = j-TAAS,
volume = "10",
number = "2",
pages = "11:1--11:??",
month = jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2700323",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jun 10 08:01:03 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Resource allocation is a common problem in many
technical systems. In multi-agent systems, the
decentralized or regionalized solution of this problem
usually requires the agents to cooperate due to their
limited resources and knowledge. At the same time, if
these systems are of large scale, scalability issues
can be addressed by a self-organizing hierarchical
system structure that enables problem decomposition and
compartmentalization. In open systems, various
uncertainties-introduced by the environment as well as
the agents' possibly self-interested or even malicious
behavior-have to be taken into account to be able to
allocate the resources according to the actual demand.
In this article, we present a trust- and
cooperation-based algorithm that solves a dynamic
resource allocation problem in open systems of systems.
To measure and deal with uncertainties imposed by the
environment and the agents at runtime, the algorithm
uses the social concept of trust. In a hierarchical
setting, we additionally show how agents create
constraint models by learning the capabilities of
subordinate agents if these are not able or willing to
disclose this information. Throughout the article, the
creation of power plant schedules in decentralized
autonomous power management systems serves as a running
example.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Rahimian:2015:DAL,
author = "Fatemeh Rahimian and Amir H. Payberah and Sarunas
Girdzijauskas and Mark Jelasity and Seif Haridi",
title = "A Distributed Algorithm for Large-Scale Graph
Partitioning",
journal = j-TAAS,
volume = "10",
number = "2",
pages = "12:1--12:??",
month = jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2714568",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jun 10 08:01:03 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Balanced graph partitioning is an NP-complete problem
with a wide range of applications. These applications
include many large-scale distributed problems,
including the optimal storage of large sets of
graph-structured data over several hosts. However, in
very large-scale distributed scenarios,
state-of-the-art algorithms are not directly applicable
because they typically involve frequent global
operations over the entire graph. In this article, we
propose a fully distributed algorithm called J A-BE-JA
that uses local search and simulated annealing
techniques for two types of graph partitioning:
edge-cut partitioning and vertex-cut partitioning. The
algorithm is massively parallel: There is no central
coordination, each vertex is processed independently,
and only the direct neighbors of a vertex and a small
subset of random vertices in the graph need to be known
locally. Strict synchronization is not required. These
features allow JA-BE-JA to be easily adapted to any
distributed graph-processing system from data centers
to fully distributed networks. We show that the minimal
edge-cut value empirically achieved by JA-BE-JA is
comparable to state-of-the-art centralized algorithms
such as Metis. In particular, on large social networks,
JA-BE-JA outperforms Metis. We also show that JA-BE-JA
computes very low vertex-cuts, which are proved
significantly more effective than edge-cuts for
processing most real-world graphs.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mordacchini:2015:CTC,
author = "Matteo Mordacchini and Andrea Passarella and Marco
Conti and Stuart M. Allen and Martin J. Chorley and
Gualtiero B. Colombo and Vlad Tanasescu and Roger M.
Whitaker",
title = "Crowdsourcing through Cognitive Opportunistic
Networks",
journal = j-TAAS,
volume = "10",
number = "2",
pages = "13:1--13:??",
month = jun,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2733379",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Jun 10 08:01:03 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Until recently crowdsourcing has been primarily
conceived as an online activity to harness resources
for problem solving. However, the emergence of
Opportunistic Networking (ON) has opened up
crowdsourcing to the spatial domain. In this article,
we bring the ON model for potential crowdsourcing in
the smart city environment. We introduce cognitive
features of the ON that allow users' mobile devices to
become aware of the surrounding physical environment.
Specifically, we exploit cognitive psychology studies
on dynamic memory structures and cognitive
heuristics-mental models that describe how the human
brain handles decision making among complex and
real-time stimuli. Combined with ON, these cognitive
features allow devices to act as proxies in their
users' cyberworlds and exchange knowledge to deliver
awareness of places in an urban environment. This is
done through tags associated with locations. They
represent features that are perceived by humans about a
place. We consider the extent to which this knowledge
becomes available to participants using interactions
with locations and other nodes. This is assessed taking
into account a wide range of cognitive parameters.
Outcomes are important because this functionality could
support a new type of recommendation system that is
independent of the traditional forms of networking.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Rzadca:2015:GTM,
author = "Krzysztof Rzadca and Anwitaman Datta and Gunnar Kreitz
and Sonja Buchegger",
title = "Game-Theoretic Mechanisms to Increase Data
Availability in Decentralized Storage Systems",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "14:1--14:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2723771",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In a decentralized storage system, agents replicate
each other's data to increase availability. Compared to
organizationally centralized solutions, such as cloud
storage, a decentralized storage system requires less
trust in the provider and may result in smaller
monetary costs. Our system is based on reciprocal
storage contracts that allow the agents to adopt to
changes in their replication partners' availability (by
dropping inefficient contracts and forming new
contracts with other partners). The data availability
provided by the system is a function of the
participating agents' availability. However, a
straightforward system in which agents' matching is
decentralized uses the given agent availability
inefficiently. As agents are autonomous, the highly
available agents form cliques replicating data between
each other, which makes the system too hostile for the
weakly available newcomers. In contrast, a centralized,
equitable matching is not incentive compatible: it does
not reward users for keeping their software running. We
solve this dilemma by a mixed solution: an ``adoption''
mechanism in which highly available agents donate some
replication space, which in turn is used to help the
worst-off agents. We show that the adoption motivates
agents to increase their availability (is
incentive-compatible), but also that it is sufficient
for acceptable data availability for weakly-available
agents.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Iglesia:2015:MKF,
author = "Didac Gil {De La Iglesia} and Danny Weyns",
title = "{MAPE-K} Formal Templates to Rigorously Design
Behaviors for Self-Adaptive Systems",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "15:1--15:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2724719",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Designing software systems that have to deal with
dynamic operating conditions, such as changing
availability of resources and faults that are difficult
to predict, is complex. A promising approach to handle
such dynamics is self-adaptation that can be realized
by a MAPE-K feedback loop (Monitor-Analyze-Plan-Execute
plus Knowledge). To provide evidence that the system
goals are satisfied, given the changing conditions, the
state of the art advocates the use of formal methods.
However, little research has been done on consolidating
design knowledge of self-adaptive systems. To support
designers, this paper contributes with a set of
formally specified MAPE-K templates that encode design
expertise for a family of self-adaptive systems. The
templates comprise: (1) behavior specification
templates for modeling the different components of a
MAPE-K feedback loop (based on networks of timed
automata), and (2) property specification templates
that support verification of the correctness of the
adaptation behaviors (based on timed computation tree
logic). To demonstrate the reusability of the formal
templates, we performed four case studies in which
final-year Masters students used the templates to
design different self-adaptive systems.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Pani:2015:CSS,
author = "Danilo Pani and Carlo Sau and Francesca Palumbo and
Luigi Raffo",
title = "Computing Swarms for Self-Adaptiveness and
Self-Organization in Floating-Point Array Processing",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "16:1--16:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2746346",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Advancements in CMOS technology enable the integration
of a huge number of resources on the same
system-on-chip. Managing the consequent growing
complexity, including fault tolerance issues in deep
submicron technologies, is a hard challenge for
hardware designers. Self-organization may represent a
viable path toward the development of massively
parallel architectures in current and future
technologies. This approach is progressively more
studied in multiprocessor architectures where, however,
a further mind-set shift in terms of programming
paradigm is required. In this article,
self-organization and self-adaptiveness are exploited
for the design of a coprocessing unit for array
computations, supporting floating-point arithmetic.
From the experience of previous explorations, an
architecture embodying some principle of swarm
intelligence to pursue adaptability, scalability, and
fault tolerance is proposed. The architecture realizes
a loosely structured collection of hardware agents
implementing fixed behavioral rules aimed at the best
exploitation of the available resources in whatever
kind of context without any hardware reconfiguration.
Comparisons with off-the-shelf very long instruction
word (VLIW) digital signal processors (DSPs) on
specific tasks reveal similar performance thus not
paying the improved robustness with performance. The
multitasking capabilities, together with the intrinsic
scalability, make this approach valuable for future
extensions as well, especially in the field of neuronal
networks simulators.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Hosseinmardi:2015:DSG,
author = "Homa Hosseinmardi and Akshay Mysore and Nicholas
Farrow and Nikolaus Correll and Richard Han",
title = "Distributed Spatiotemporal Gesture Recognition in
Sensor Arrays",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "17:1--17:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2744203",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We present algorithms for gesture recognition using
in-network processing in distributed sensor arrays
embedded within systems such as tactile input devices,
sensing skins for robotic applications, and smart
walls. We describe three distributed
gesture-recognition algorithms that are designed to
function on sensor arrays with minimal computational
power, limited memory, limited bandwidth, and possibly
unreliable communication. These constraints cause
storage of gesture templates within the system and
distributed consensus algorithms for recognizing
gestures to be difficult. Building up on a chain vector
encoding algorithm commonly used for gesture
recognition on a central computer, we approach this
problem by dividing the gesture dataset between nodes
such that each node has access to the complete dataset
via its neighbors. Nodes share gesture information
among each other, then each node tries to identify the
gesture. In order to distribute the computational load
among all nodes, we also investigate an alternative
algorithm, in which each node that detects a motion
will apply a recognition algorithm to part of the input
gesture, then share its data with all other motion
nodes. Next, we show that a hybrid algorithm that
distributes both computation and template storage can
address trade-offs between memory and computational
efficiency.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Sui:2015:AOD,
author = "Zhiquan Sui and Matthew Malensek and Neil Harvey and
Shrideep Pallickara",
title = "Autonomous Orchestration of Distributed Discrete Event
Simulations in the Presence of Resource Uncertainty",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "18:1--18:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2746345",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Discrete event simulations model the behavior of
complex, real-world systems. Simulating a wide range of
events and conditions provides a more nuanced model,
but also increases its computational footprint. To
manage these processing requirements in a scalable
manner, discrete event simulations can be distributed
across multiple computing resources. Orchestrating the
simulations in a distributed setting involves coping
with resource uncertainty. We consider three key
aspects of resource uncertainty: resource failures,
heterogeneity, and slowdowns. Each of these aspects is
managed autonomously, which involves making accurate
predictions of future execution times and latencies
while also accounting for differences in hardware
capabilities and dynamic resource consumption profiles.
Further complicating matters, individual tasks within
the simulation are stateful and stochastic, requiring
inter-task communication and synchronization to produce
accurate outcomes. We deal with these challenges
through intelligent state collection and migration,
active resource monitoring, and empirical evaluation of
resource capabilities under changing conditions. To
underscore the viability of our solution, we provide
benchmarks using a production discrete event simulation
that can simultaneously sustain failures, manage
resource heterogeneity, and handle slowdowns while
being orchestrated by our framework.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Gogolev:2015:DBC,
author = "Alexander Gogolev and Nikolaj Marchenko and Lucio
Marcenaro and Christian Bettstetter",
title = "Distributed Binary Consensus in Networks with
Disturbances",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "19:1--19:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2746347",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article evaluates convergence rates of binary
majority consensus algorithms in networks with
different types of disturbances and studies the
potential capacity of randomization to foster
convergence. Simulation results show that (a) additive
noise, topology randomness, and stochastic message loss
may improve the convergence rate; (b) presence of
faulty nodes degrades the convergence rate; and (c)
explicit randomization of consensus algorithms can be
exploited to improve the convergence rate.
Watts-Strogatz and Waxman graphs are used as underlying
network topologies. A consensus algorithm is proposed
that exchanges state information with dynamically
randomly selected neighbors and, through this
randomization, achieves almost sure convergence in some
scenarios.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Feng:2015:FMS,
author = "Dawei Feng and Cecile Germain",
title = "Fault Monitoring with Sequential Matrix
Factorization",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "20:1--20:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2797141",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "For real-world distributed systems, the knowledge
component at the core of the MAPE-K loop has to be
inferred, as it cannot be realistically assumed to be
defined a priori. Accordingly, this paper considers
fault monitoring as a latent factors discovery problem.
In the context of end-to-end probing, the goal is to
devise an efficient sampling policy that makes the best
use of a constrained sampling budget. Previous work
addresses fault monitoring in a collaborative
prediction framework, where the information is a
snapshot of the probes outcomes. Here, we take into
account the fact that the system dynamically evolves at
various time scales. We propose and evaluate Sequential
Matrix Factorization (SMF) that exploits both the
recent advances in matrix factorization for the
instantaneous information and a new sampling heuristics
based on historical information. The effectiveness of
the SMF approach is exemplified on datasets of
increasing difficulty and compared with state of the
art history-based or snapshot-based methods. In all
cases, strong adaptivity under the specific flavor of
active learning is required to unleash the full
potential of coupling the most confident and the most
uncertain sampling heuristics, which is the cornerstone
of SMF.",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Faghih:2015:SBS,
author = "Fathiyeh Faghih and Borzoo Bonakdarpour",
title = "{SMT-Based} Synthesis of Distributed Self-Stabilizing
Systems",
journal = j-TAAS,
volume = "10",
number = "3",
pages = "21:1--21:??",
month = oct,
year = "2015",
CODEN = "????",
DOI = "https://doi.org/10.1145/2767133",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Oct 9 05:45:15 MDT 2015",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A self-stabilizing system is one that guarantees
reaching a set of legitimate states from any arbitrary
initial state. Designing distributed self-stabilizing
protocols is often a complex task and developing their
proof of correctness is known to be significantly more
tedious. In this article, we propose an SMT-based
method that automatically synthesizes a
self-stabilizing protocol, given the network topology
of distributed processes and description of the set of
legitimate states. Our method can synthesize
synchronous, asynchronous, symmetric, and asymmetric
protocols for two types of stabilization, namely weak
and strong. We also report on successful automated
synthesis of a set of well-known distributed
stabilizing protocols such as Dijkstra's token ring,
distributed maximal matching, graph coloring, and
mutual exclusion in anonymous networks.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bencomo:2016:ISS,
author = "Nelly Bencomo and Gregor Engels",
title = "Introduction to the Special Section on Best Papers
from {SEAMS 2014}",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "22:1--22:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2847420",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "22",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Camara:2016:ALA,
author = "Javier C{\'a}mara and Gabriel A. Moreno and David
Garlan and Bradley Schmerl",
title = "Analyzing Latency-Aware Self-Adaptation Using
Stochastic Games and Simulations",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "23:1--23:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2774222",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-adaptive systems must decide which adaptations to
apply and when. In reactive approaches, adaptations are
chosen and executed after some issue in the system has
been detected (e.g., unforeseen attacks or failures).
In proactive approaches, predictions are used to
prepare the system for some future event (e.g., traffic
spikes during holidays). In both cases, the choice of
adaptation is based on the estimated impact it will
have on the system. Current decision-making approaches
assume that the impact will be instantaneous, whereas
it is common that adaptations take time to produce
their impact. Ignoring this latency is problematic
because adaptations may not achieve their effect in
time for a predicted event. Furthermore, lower impact
but quicker adaptations may be ignored altogether, even
if over time the accrued impact is actually higher. In
this article, we introduce a novel approach to choosing
adaptations that considers these latencies. To show how
this improves adaptation decisions, we use a
two-pronged approach: (i) model checking of Stochastic
Multiplayer Games (SMGs) enables us to understand best-
and worst-case scenarios of optimal latency-aware and
non-latency-aware adaptation without the need to
develop specific adaptation algorithms. However, since
SMGs do not provide an algorithm to make choices at
runtime, we propose a (ii) latency-aware adaptation
algorithm to make decisions at runtime. Simulations are
used to explore more detailed adaptation behavior and
to check if the performance of the algorithm falls
within the bounds predicted by SMGs. Our results show
that latency awareness improves adaptation outcomes and
also allows a larger set of adaptations to be
exploited.",
acknowledgement = ack-nhfb,
articleno = "23",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Garcia-Galan:2016:UCA,
author = "Jes{\'u}s Garc{\'\i}a-Gal{\'a}n and Liliana Pasquale
and Pablo Trinidad and Antonio Ruiz-Cort{\'e}s",
title = "User-Centric Adaptation Analysis of Multi-Tenant
Services",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "24:1--24:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2790303",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Multi-tenancy is a key pillar of cloud services. It
allows different users to share computing and virtual
resources transparently, meanwhile guaranteeing
substantial cost savings. Due to the tradeoff between
scalability and customization, one of the major
drawbacks of multi-tenancy is limited configurability.
Since users may often have conflicting configuration
preferences, offering the best user experience is an
open challenge for service providers. In addition, the
users, their preferences, and the operational
environment may change during the service operation,
thus jeopardizing the satisfaction of user preferences.
In this article, we present an approach to support
user-centric adaptation of multi-tenant services. We
describe how to engineer the activities of the
Monitoring, Analysis, Planning, Execution (MAPE) loop
to support user-centric adaptation, and we focus on
adaptation analysis. Our analysis computes a service
configuration that optimizes user satisfaction,
complies with infrastructural constraints, and
minimizes reconfiguration obtrusiveness when user- or
service-related changes take place. To support our
analysis, we model multi-tenant services and user
preferences by using feature and preference models,
respectively. We illustrate our approach by utilizing
different cases of virtual desktops. Our results
demonstrate the effectiveness of the analysis in
improving user preferences satisfaction in negligible
time.",
acknowledgement = ack-nhfb,
articleno = "24",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Zoghi:2016:DAA,
author = "Parisa Zoghi and Mark Shtern and Marin Litoiu and
Hamoun Ghanbari",
title = "Designing Adaptive Applications Deployed on Cloud
Environments",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "25:1--25:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2822896",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Designing an adaptive system to meet its quality
constraints in the face of environmental uncertainties
can be a challenging task. In a cloud environment, a
designer has to consider and evaluate different control
points, that is, those variables that affect the
quality of the software system. This article presents a
methodology for designing adaptive systems in cloud
environments. The proposed methodology consists of
several phases that take high-level stakeholders'
adaptation goals and transform them into lower-level
MAPE-K loop control points. The MAPE-K loops are then
activated at runtime using search-based algorithms. Our
methodology includes the elicitation, ranking, and
evaluation of control points, all meant to enable a
runtime search-based adaptation. We conducted several
experiments to evaluate the different phases of our
methodology and to validate the runtime adaptation
efficiency.",
acknowledgement = ack-nhfb,
articleno = "25",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Esfahani:2016:ISC,
author = "Naeem Esfahani and Eric Yuan and Kyle R. Canavera and
Sam Malek",
title = "Inferring Software Component Interaction Dependencies
for Adaptation Support",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "26:1--26:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2856035",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A self-managing software system should be able to
monitor and analyze its runtime behavior and make
adaptation decisions accordingly to meet certain
desirable objectives. Traditional software adaptation
techniques and recent ``models@runtime'' approaches
usually require an a priori model for a system's
dynamic behavior. Oftentimes the model is difficult to
define and labor-intensive to maintain, and tends to
get out of date due to adaptation and architecture
decay. We propose an alternative approach that does not
require defining the system's behavior model
beforehand, but instead involves mining software
component interactions from system execution traces to
build a probabilistic usage model, which is in turn
used to analyze, plan, and execute adaptations. In this
article, we demonstrate how such an approach can be
realized and effectively used to address a variety of
adaptation concerns. In particular, we describe the
details of one application of this approach for safely
applying dynamic changes to a running software system
without creating inconsistencies. We also provide an
overview of two other applications of the approach,
identifying potentially malicious (abnormal) behavior
for self-protection, and improving deployment of
software components in a distributed setting for
performance self-optimization. Finally, we report on
our experiments with engineering self-management
features in an emergency deployment system using the
proposed mining approach.",
acknowledgement = ack-nhfb,
articleno = "26",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Brienza:2016:JTA,
author = "Simone Brienza and Manuel Roveri and Domenico {De
Guglielmo} and Giuseppe Anastasi",
title = "Just-in-Time Adaptive Algorithm for Optimal Parameter
Setting in {802.15.4 WSNs}",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "27:1--27:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2818713",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Recent studies have shown that the IEEE 802.15.4 MAC
protocol suffers from severe limitations, in terms of
reliability and energy efficiency, when the CSMA/CA
parameter setting is not appropriate. However,
selecting the optimal setting that guarantees the
application reliability requirements, with minimum
energy consumption, is not a trivial task in wireless
sensor networks, especially when the operating
conditions change over time. In this paper we propose a
Just-in-Time LEarning-based Adaptive Parameter tuning
(JIT-LEAP) algorithm that adapts the CSMA/CA parameter
setting to the time-varying operating conditions by
also exploiting the past history to find the most
appropriate setting for the current conditions.
Following the approach of active adaptive algorithms,
the adaptation mechanism of JIT-LEAP is triggered by a
change detection test only when needed (i.e., in
response to a change in the operating conditions).
Simulation results show that the proposed algorithm
outperforms other similar algorithms, both in
stationary and dynamic scenarios.",
acknowledgement = ack-nhfb,
articleno = "27",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kar:2016:CRS,
author = "Pushpendu Kar and Arijit Roy and Sudip Misra",
title = "Connectivity Reestablishment in Self-Organizing Sensor
Networks with Dumb Nodes",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "28:1--28:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2816820",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this work, we propose a scheme, named CoRAD, for
the reestablishment of lost connectivity using sensor
nodes with adjustable communication range in stationary
wireless sensor networks (WSNs), when ``dumb'' behavior
occurs some of the nodes. Due to the occurrence of such
behavior, there may be temporary loss of connectivity
between among the nodes. Such a phenomenon is different
from the commonly known node isolation problem in
stationary WSNs. The mere activation of intermediate
sleep nodes cannot guarantee reestablishment of
connectivity, because there may not exist neighbor
nodes of the isolated nodes. On the contrary, the
increase in communication range of a single sensor node
may make it die quickly. Including this, a sensor node
has maximum limit of increase in communication range
that may not be sufficient to reestablish connectivity.
Therefore, considering all these factors for
self-organization of the network and isolated node
re-connection, we propose a price-based scheme, which
addresses the issue by activating intermediate sleep
nodes or by adjusting the communication range of some
of the other nodes in the network. The scheme also
deactivates the additional activated nodes and reduces
the increased communication range when the dumb nodes
resume their normal behavior, upon the return of
favorable environmental conditions. To implement the
proposed scheme, CoRAD it is required to construct the
network using GPS-enabled adjustable communication
range sensor nodes. Through simulation we compare our
proposed scheme with the existing topology management
schemes --- LETC and A1 --- in the same scenario by
considering the number of activated nodes, message
overhead, and energy consumption. We find that the
proposed scheme shows improved performance compared to
the existing topology management schemes.",
acknowledgement = ack-nhfb,
articleno = "28",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Dulman:2016:SSF,
author = "Stefan Dulman and Eric Pauwels",
title = "Self-Stabilized Fast Gossiping Algorithms",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "29:1--29:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2816819",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we explore the topic of extending
aggregate computation in distributed networks with
self-stabilizing properties to withstand network
dynamics. Existing research suggests that fast
gossiping algorithms, based on the properties of order
statistics applied to families of exponential random
variables, are a viable solution for computing
functions of the values stored in the network. We focus
on the specific case in which network changes and
failures occur in batches with a minimum frequency in
the order of the diameter of the network. Our
contribution consists in two self-stabilizing
mechanisms, allowing fast gossiping algorithms to be
applicable to dynamic networks with minor increase in
resources usage. The resulting algorithms can be
deployed in networks exhibiting churn, node
stop-failures and resets, and random topological
changes. The theoretical results are verified with
simulations on synthetic data, showcasing desirable
properties for large-scale network designers such as
scalability, lack of single points of failure, and
anonymity.",
acknowledgement = ack-nhfb,
articleno = "29",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Poola:2016:ERW,
author = "Deepak Poola and Kotagiri Ramamohanarao and Rajkumar
Buyya",
title = "Enhancing Reliability of Workflow Execution Using Task
Replication and Spot Instances",
journal = j-TAAS,
volume = "10",
number = "4",
pages = "30:1--30:??",
month = feb,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2815624",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Feb 6 08:15:30 MST 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Cloud environments offer low-cost computing resources
as a subscription-based service. These resources are
elastically scalable and dynamically provisioned.
Furthermore, cloud providers have also pioneered new
pricing models like spot instances that are
cost-effective. As a result, scientific workflows are
increasingly adopting cloud computing. However, spot
instances are terminated when the market price exceeds
the users bid price. Likewise, cloud is not a utopian
environment. Failures are inevitable in such large
complex distributed systems. It is also well studied
that cloud resources experience fluctuations in the
delivered performance. These challenges make fault
tolerance an important criterion in workflow
scheduling. This article presents an adaptive,
just-in-time scheduling algorithm for scientific
workflows. This algorithm judiciously uses both spot
and on-demand instances to reduce cost and provide
fault tolerance. The proposed scheduling algorithm also
consolidates resources to further minimize execution
time and cost. Extensive simulations show that the
proposed heuristics are fault tolerant and are
effective, especially under short deadlines, providing
robust schedules with minimal makespan and cost.",
acknowledgement = ack-nhfb,
articleno = "30",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Li:2016:MSC,
author = "Chao Li and Rui Wang and Depei Qian and Tao Li",
title = "Managing Server Clusters on Renewable Energy Mix",
journal = j-TAAS,
volume = "11",
number = "1",
pages = "1:1--1:??",
month = apr,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2845085",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Apr 21 08:51:10 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "As climate change has become a global concern and
server energy demand continues to soar, many IT
companies have started to explore server clusters
running on various renewable energy sources. Existing
green data center designs often yield suboptimal
performance as they only look at a certain specific
type of energy source. This article explores data
centers powered by hybrid renewable energy systems. We
propose GreenWorks, a framework for HPC data centers
running on a renewable energy mix. Specifically,
GreenWorks features a cross-layer power management
scheme tailored to the timing behaviors and capacity
constraints of different energy sources. Using
realistic workload traces and renewable energy data, we
show that GreenWorks could provide a near-optimal
workload performance (within 3\% difference) on
average. It can also reduce the worst-case performance
degradation by 43\% compared to the state-of-the-art
design. Moreover, the performance improvements are
based on carbon-neutral operations and are not at the
cost of significant efficiency degradation and reduced
battery lifecycle. Our technique becomes more efficient
when servers become more energy proportional and can
effectively handle the ever-increasing depth of
renewable power penetration in green data centers.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Toosi:2016:AMC,
author = "Adel Nadjaran Toosi and Kurt Vanmechelen and Farzad
Khodadadi and Rajkumar Buyya",
title = "An Auction Mechanism for Cloud Spot Markets",
journal = j-TAAS,
volume = "11",
number = "1",
pages = "2:1--2:??",
month = apr,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2843945",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Apr 21 08:51:10 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Dynamic forms of resource pricing have recently been
introduced by cloud providers that offer Infrastructure
as a Service (IaaS) capabilities in order to maximize
profits and balance resource supply and demand. The
design of a mechanism that efficiently prices
perishable cloud resources in line with a provider's
profit maximization goal remains an open research
challenge, however. In this article, we propose the
Online Extended Consensus Revenue Estimate mechanism in
the setting of a recurrent, multiunit and single price
auction for IaaS cloud resources. The mechanism is
envy-free, has a high probability of being truthful,
and generates a near optimal profit for the provider.
We combine the proposed auction design with a scheme
for dynamically calculating reserve prices based on
data center Power Usage Effectiveness (PUE) and
electricity costs. Our simulation-based evaluation of
the mechanism demonstrates its effectiveness under a
broad variety of market conditions. In particular, we
show how it improves on the classical uniform price
auction, and we investigate the value of prior
knowledge on the execution time of virtual machines for
maximizing profit. We also developed a system prototype
and conducted a small-scale experimental study with a
group of 10 users that confirms the truthfulness
property of the mechanism in a real test environment.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Raza:2016:UIB,
author = "Saleha Raza and Sajjad Haider",
title = "Using Imitation to Build Collaborative Agents",
journal = j-TAAS,
volume = "11",
number = "1",
pages = "3:1--3:??",
month = apr,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2831237",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Apr 21 08:51:10 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The article presents an approach to learn
collaborative strategies among multiple agents via
imitation. Imitation-based learning involves learning
from an expert by observing the demonstration of a task
and then replicating it. This mechanism makes it
convenient for a knowledge engineer to transfer
knowledge to a software agent. This article applies
imitation to learn not only the strategy of an
individual agent, but also the collaborative strategy
of a team of agents to achieve a common goal. The
article presents an imitation-based solution that
learns a weighted na{\"\i}ve Bayes structure, whereas
the weights of the model are optimized using Artificial
Immune Systems. The learned model is then used by
agents to act autonomously. The applicability of the
presented approach is assessed in the RoboCup Soccer 3D
Simulation environment, which is a promising platform
to address many complex real-world problems. The
performance of the trained agents is benchmarked
against other RoboCup Soccer 3D Simulation teams. In
addition to performance characteristics, the research
also analyzes the behavioral traits of the imitating
team to assess how closely they are imitating the
demonstrating team.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Such:2016:PPN,
author = "Jose M. Such and Michael Rovatsos",
title = "Privacy Policy Negotiation in Social Media",
journal = j-TAAS,
volume = "11",
number = "1",
pages = "4:1--4:??",
month = apr,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2821512",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Apr 21 08:51:10 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Social media involve many shared items, such as
photos, which may concern more than one user. The
challenge is that users' individual privacy preferences
for the same item may conflict, so an approach that
simply merges in some way the users' privacy
preferences may provide unsatisfactory results.
Previous proposals to deal with the problem were either
time-consuming or did not consider compromises to solve
these conflicts (e.g., by considering unilaterally
imposed approaches only). We propose a negotiation
mechanism for users to agree on a compromise for these
conflicts. The second challenge we address in this
article relates to the exponential complexity of such a
negotiation mechanism. To address this, we propose
heuristics that reduce the complexity of the
negotiation mechanism and show how substantial benefits
can be derived from the use of these heuristics through
extensive experimental evaluation that compares the
performance of the negotiation mechanism with and
without these heuristics. Moreover, we show that one
such heuristic makes the negotiation mechanism produce
results fast enough to be used in actual social media
infrastructures with near-optimal results.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Viroli:2016:SSR,
author = "Mirko Viroli and Ada Diaconescu and Nagarajan
Kandasamy",
title = "{SASO} 2014: Selected, Revised, and Extended Best
Papers",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "5:1--5:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2939206",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The international conference IEEE SASO (Self-Adapting
and Self-Organizing Systems) is the main forum for
studying and discussing the foundations of a principled
approach to engineering systems, networks, and services
based on self-adaptation and self-organization. Over
the past decade, it has consolidated as the primary
scientific conference for sharing ideas on algorithms,
technologies, tools, and applications across a wide
range of scientific fields. In 2014, the conference was
hosted by Imperial College in London, United Kingdom;
its scientific program comprised full papers, short
papers, poster presentations, demo sessions, workshops,
and tutorials. This special issue of ACM TAAS champions
some of the most solid research results of SASO 2014,
presenting selected, revised, and extended best
articles.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Capodieci:2016:AIC,
author = "Nicola Capodieci and Emma Hart and Giacomo Cabri",
title = "Artificial Immunology for Collective Adaptive Systems
Design and Implementation",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "6:1--6:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2897372",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Distributed autonomous systems consisting of large
numbers of components with no central control point
need to be able to dynamically adapt their control
mechanisms to deal with an unpredictable and changing
environment. Existing frameworks for engineering
self-adaptive systems fail to account for the need to
incorporate self-expression-that is, the capability of
a system to dynamically adapt its coordination pattern
during runtime. Although the benefits of incorporating
self-expression are well known, currently there is no
principled means of enabling this during system design.
We propose a conceptual framework for principled design
of systems that exhibit self-expression, based on
inspiration from the natural immune system. The
framework is described as a set of design principles
and customizable algorithms and then is instantiated in
three case studies, including two from robotics and one
from artificial chemistry. We show that it enables
self-expression in each case, resulting in systems that
are able to adapt their choice of coordination pattern
during runtime to optimize functional and nonfunctional
goals, as well as to discover novel patterns and
architectures.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kantert:2016:CNE,
author = "Jan Kantert and Sven Tomforde and Melanie Kauder and
Richard Scharrer and Sarah Edenhofer and J{\"o}rg
H{\"a}hner and Christian M{\"u}ller-Schloer",
title = "Controlling Negative Emergent Behavior by Graph
Analysis at Runtime",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "7:1--7:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2890507",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-organized systems typically consist of
distributed autonomous entities. An increasing part of
such systems is characterized by openness and
heterogeneity of participants. For instance, open
desktop computing grids provide a framework for
unrestrictedly joining in. However, openness and
heterogeneity present severe challenges to the overall
system's stability and efficiency since uncooperative
and even malicious participants are free to join. A
promising solution for this problem is to introduce
technical trust as a basis; however, in turn, the
utilization of trust opens space for negative emergent
behavior. This article introduces a system-wide
observation and control loop that influences the
self-organized behavior to provide a performant and
robust platform for benevolent participants. Thereby,
the observation part is responsible for gathering
information and deriving a system description. We
introduce a graph-based approach to identify groups of
suspicious or malicious agents and demonstrate that
this clustering process is highly successful for the
considered stereotype agent behaviors. In addition, the
controller part guides the system behavior by issuing
norms that make use of incentives and sanctions. We
further present a concept for closing the control loop
and show experimental results that highlight the
potential benefit of establishing such a control
loop.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Khaluf:2016:MRS,
author = "Yara Khaluf and Marco Dorigo",
title = "Modeling Robot Swarms Using Integrals of Birth-Death
Processes",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "8:1--8:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2870637",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article investigates the use of the integral of
linear birth-death processes in the context of
analyzing swarm robotics systems. We show that when a
robot swarm can be modeled as a linear birth-death
process, well-established results can be used to
compute the expected value and/or the distribution of
important swarm performance measures, such as the swarm
activity time or the swarm energy consumption. We also
show how the linear birth-death model can be used to
estimate the long-term value of such performance
measures and design robot controllers that satisfy
constraints on these measures.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kuze:2016:CLS,
author = "Naomi Kuze and Daichi Kominami and Kenji Kashima and
Tomoaki Hashimoto and Masayuki Murata",
title = "Controlling Large-Scale Self-Organized Networks with
Lightweight Cost for Fast Adaptation to Changing
Environments",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "9:1--9:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2856424",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-organization has potential for high scalability,
adaptability, flexibility, and robustness, which are
vital features for realizing future networks.
Convergence of self-organizing control, however, is
slow in some practical applications compared to control
with conventional deterministic systems using global
information. It is therefore important to facilitate
convergence of self-organizing controls. In controlled
self-organization, which introduces an external
controller into self-organizing systems, the network is
controlled to guide systems to a desired state.
Although existing controlled self-organization schemes
could achieve this feature, convergence speed for
reaching an optimal or semioptimal solution is still a
challenging task. We perform potential-based
self-organizing routing and propose an optimal feedback
method using a reduced-order model for faster
convergence at low cost. Simulation results show that
the proposed mechanism improves the convergence speed
of potential-field construction (i.e., route
construction) by at most 22.6 times with low
computational and communication cost.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Ahmadi:2016:TBD,
author = "Kamilia Ahmadi and Vicki H. Allan",
title = "Trust-Based Decision Making in a Self-Adaptive Agent
Organization",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "10:1--10:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2839302",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Interaction between agents is one of the key factors
in multiagent societies. Using interaction, agents
communicate with each other and cooperatively execute
complex tasks that are beyond the capability of a
single agent. Cooperatively executing tasks may
endanger the success of an agent if it attempts to
cooperate with peers that are not proficient or
reliable. Therefore, agents need to have an evaluation
mechanism to select peers for cooperation. Trust is one
of the measures commonly used to evaluate the
effectiveness of agents in cooperative societies. Since
all interactions are subject to uncertainty, the risk
behavior of agents as a contextual factor needs to be
taken into account in decision making. In this
research, we propose the concept of adaptive risk and
agent strategy along with an algorithm that helps
agents make decisions in an self-adaptive society
utilizing an agent's own experience and
recommendation-based trust. Trust-based decision making
increases the profit of the system along with lower
task failure in comparison to a no-trust model in which
agents do not utilize evaluation mechanisms for
choosing their cooperation peers.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Silva:2016:SSC,
author = "Jonathan de Andrade Silva and Eduardo Raul Hruschka",
title = "A Support System for Clustering Data Streams with a
Variable Number of Clusters",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "11:1--11:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2932704",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Many algorithms for clustering data streams that are
based on the widely used k -Means have been proposed in
the literature. Most of these algorithms assume that
the number of clusters, k, is known and fixed a priori
by the user. Aimed at relaxing this assumption, which
is often unrealistic in practical applications, we
propose a support system that allows not only
estimating the number of clusters automatically from
data but also monitoring the process of the data-stream
clustering. We illustrate the potential of the proposed
system by means of a prototype that implements eight
algorithms for clustering data streams, namely, Stream
LSearch-OMR k, Stream LSearch-B k M, Stream
LSearch-IOMR k, Stream LSearch-IB k M, CluStream-OMR k,
CluStream-B k M, StreamKM++-OMR k, and StreamKM++-B k
M. These algorithms are combinations of three
state-of-the-art algorithms for clustering data streams
with fixed k, namely, Stream LSearch, CluStream, and
StreamKM++, with two algorithms for estimating the
number of clusters, which are Ordered Multiple Runs of
k -Means (OMR k ) and Bisecting k -Means (B k M). We
experimentally compare the performance of these
algorithms using both synthetic and real-world data
streams. Analyses of statistical significance suggest
that the algorithms that are based on OMR k yield the
best data partitions, while the algorithms that are
based on B k M are more computationally efficient.
Additionally, StreamKM++-OMR k and Stream LSearch-IB k
M provide the best tradeoff relationship between
accuracy and efficiency.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Khan:2016:DMF,
author = "Muhammad Umer Khan and Shuai Li and Qixin Wang and
Zili Shao",
title = "Distributed Multirobot Formation and Tracking Control
in Cluttered Environments",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "12:1--12:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2910584",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we propose formation control of
nonholonomic mobile robots avoiding obstacles in a
distributed manner for cluttered environments. The
introduction of a virtual robot restructures the
formation control problem into a tracking control
problem between the virtual reference robot and
follower robots. A novel obstacle avoidance approach is
proposed based upon the scaling of whole (partial)
formation corresponding to a centralized (distributed)
framework. For the distributed environment with limited
communication, our approach utilized
proportional-integral average consensus estimators,
whereby information from each robot diffuses through
the communication network. The theoretical contribution
is to determine the time constant involved in the
diffusion process, which can affect overall system
performance. The asymptotic convergence of follower
robots to the position and orientation of the reference
robot is ensured using the Lyapunov function. The new
technique is tested with complete, limited, and no
information availability. Several simulation results
are provided that demonstrate the formation control and
obstacle avoidance for multirobots using the proposed
scheme.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mencagli:2016:GTA,
author = "Gabriele Mencagli",
title = "A Game-Theoretic Approach for Elastic Distributed Data
Stream Processing",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "13:1--13:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2903146",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Distributed data stream processing applications are
structured as graphs of interconnected modules able to
ingest high-speed data and to transform them in order
to generate results of interest. Elasticity is one of
the most appealing features of stream processing
applications. It makes it possible to scale up/down the
allocated computing resources on demand in response to
fluctuations of the workload. On clouds, this
represents a necessary feature to keep the operating
cost at affordable levels while accommodating
user-defined QoS requirements. In this article, we
study this problem from a game-theoretic perspective.
The control logic driving elasticity is distributed
among local control agents capable of choosing the
right amount of resources to use by each module. In a
first step, we model the problem as a noncooperative
game in which agents pursue their self-interest. We
identify the Nash equilibria and we design a
distributed procedure to reach the best equilibrium in
the Pareto sense. As a second step, we extend the
noncooperative formulation with a decentralized
incentive-based mechanism in order to promote
cooperation by moving the agreement point closer to the
system optimum. Simulations confirm the results of our
theoretical analysis and the quality of our
strategies.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Cicirelli:2016:TEP,
author = "Franco Cicirelli and Agostino Forestiero and Andrea
Giordano and Carlo Mastroianni",
title = "Transparent and Efficient Parallelization of Swarm
Algorithms",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "14:1--14:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2897373",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article presents an approach for the efficient
and transparent parallelization of a large class of
swarm algorithms, specifically those where the
multiagent paradigm is used to implement the
functionalities of bioinspired entities, such as ants
and birds. Parallelization is achieved by partitioning
the space on which agents operate onto multiple regions
and assigning each region to a different computing
node. Data consistency and conflict issues, which can
arise when several agents concurrently access shared
data, are handled using a purposely developed notion of
logical time. This approach enables a transparent
porting onto parallel/distributed architectures, as the
developer is only in charge of defining the behavior of
the agents, without having to cope with issues related
to parallel programming and performance optimization.
The approach has been evaluated for a very popular
swarm algorithm, the ant-based spatial clustering and
sorting of items, and results show good performance and
scalability.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Aldewereld:2016:GNM,
author = "Huib Aldewereld and Virginia Dignum and Wamberto W.
Vasconcelos",
title = "Group Norms for Multi-Agent Organisations",
journal = j-TAAS,
volume = "11",
number = "2",
pages = "15:1--15:??",
month = jul,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2882967",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Normative multi-agent systems offer the ability to
integrate social and individual factors to provide
increased levels of fidelity with respect to modelling
social phenomena, such as cooperation, coordination,
group decision making, and organization, in both human
and artificial agent systems. An important open
research issue refers to group norms, that is, norms
that govern groups of agents. Depending on the
interpretation, group norms may be intended to affect
the group as a whole, each member of a group, or some
members of the group. Moreover, upholding group norms
may require coordination among the members of the
group. We have identified three sets of agents affected
by group norms, namely, (i) the addressees of the norm,
(ii) those that will act on it, and (iii) those that
are responsible for ensuring norm compliance. We
present a formalism to represent these, connecting it
to a minimalist agent organisation model. We use our
formalism to develop a reasoning mechanism that enables
agents to identify their position with respect to a
group norm to further support agent autonomy and
coordination when deciding on possible courses of
action.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Liu:2016:TCD,
author = "Linfeng Liu and Jingli Du and Ye Liu",
title = "Topology Control for Diverse Coverage in Underwater
Wireless Sensor Networks",
journal = j-TAAS,
volume = "11",
number = "3",
pages = "16:1--16:??",
month = sep,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2928273",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Underwater wireless sensor networks (UWSNs) have been
developed for a set of underwater applications,
including the resource exploration, pollution
monitoring, tactical surveillance, and so on. However,
the complexity and diversity of the underwater
environment differentiate it significantly from the
terrestrial environment. In particular, the coverage
requirements (i.e., coverage degrees and coverage
probabilities) at different regions probably differ
underwater. Nevertheless, little effort has been made
so far on the topology control of UWSNs given the
diverse coverage requirements. To this end, this
article proposes two algorithms for the diverse
coverage problem in UWSNs: (1) Traversal Algorithm for
Diverse Coverage (TADC), which adjusts the sensing
radii of nodes successively, that is, at each round
only one node alters its sensing radius, and (2) Radius
Increment Algorithm for Diverse Coverage (RIADC), which
sets the sensing radii of nodes incrementally, that is,
at each round multiple nodes may increase their sensing
radii simultaneously. The performances of TADC and
RIADC are analyzed through mathematical analysis and
simulations. The results reveal that both TADC and
RIADC can achieve the diverse coverage while minimizing
the energy consumption. Moreover, TADC and RIADC
perform nicely in obtaining optimal sensing radii and
reducing message complexity, respectively. Such merits
further indicate that TADC and RIADC are suitable for
small-scale and large-scale UWSNs, respectively.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Ippoliti:2016:OAA,
author = "Dennis Ippoliti and Changjun Jiang and Zhijun Ding and
Xiaobo Zhou",
title = "Online Adaptive Anomaly Detection for Augmented
Network Flows",
journal = j-TAAS,
volume = "11",
number = "3",
pages = "17:1--17:??",
month = sep,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2934686",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Traditional network anomaly detection involves
developing models that rely on packet inspection.
However, increasing network speeds and use of encrypted
protocols make per-packet inspection unsuited for
today's networks. One method of overcoming this
obstacle is aggregating packet header information and
performing flow-based analysis where data flow patterns
are examined rather than deep packet inspection. Many
existing approaches are special purpose limited to
detecting specific behavior. Also, the data reduction
inherent in identifying anomalous flows hinders alert
correlation. In this article, we propose and develop a
dynamic anomaly detection approach for augmented
network flows. We sketch network state during flow
creation, enabling general-purpose threat detection. We
describe an efficient flow augmentation approach based
on the count-min sketch that provides per-flow-,
per-node-, and per-network-level statistics parallel to
flow record generation. We design and develop a support
vector machine-based adaptive anomaly detection and
correlation mechanism, which is capable of aggregating
alerts without a priori alert classification and
evolving models online. We further develop a
lightweight evolving alert aggregation method and
combine it with a confidence forwarding mechanism
identifying a small percentage predictions for
additional processing. We show effectiveness of our
methods on both enterprise and backbone traces.
Experimental results demonstrate its ability to
maintain high accuracy without the need for offline
training.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Yen:2016:DSS,
author = "Li-Hsing Yen and Jean-Yao Huang and Volker Turau",
title = "Designing Self-Stabilizing Systems Using Game Theory",
journal = j-TAAS,
volume = "11",
number = "3",
pages = "18:1--18:??",
month = sep,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2957760",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-stabilizing systems tolerate transient faults by
always returning to a legitimate system state within a
finite time. This goal is challenged by several system
features such as arbitrary system states after faults,
various process execution models, and constrained
process communication means. This work designs
self-stabilizing distributed algorithms from the
perspective of game theory, achieving an intended
system goal through private goals of processes. We
propose a generic game design for identifying a maximal
independent set (MIS) or a maximal weighted independent
set (MWIS) among all processes in a distributed system.
From the generic game several specific games can be
defined which differ in whether and how neighboring
players influence each other. Turning the game designs
into self-stabilizing algorithms, we obtain the first
algorithms for the MWIS problem and also the first
self-stabilizing MIS algorithm that considers node
degree (including an analysis of its performance
ratio). We also show how to handle simultaneous moves
of processes in some process execution models.
Simulation results indicate that, for various
representative network topologies, the new algorithm
outperforms existing methods in terms of MIS size and
convergence rate. For the MWIS problem, the new
algorithms performed only slightly worse than
centralized greedy counterparts.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Higashino:2016:AGR,
author = "Wilson A. Higashino and C{\'e}dric Eichler and Miriam
A. M. Capretz and Luiz F. Bittencourt and Thierry
Monteil",
title = "Attributed Graph Rewriting for Complex Event
Processing Self-Management",
journal = j-TAAS,
volume = "11",
number = "3",
pages = "19:1--19:??",
month = sep,
year = "2016",
CODEN = "????",
DOI = "https://doi.org/10.1145/2967499",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Sep 22 08:03:29 MDT 2016",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The use of Complex Event Processing (CEP) and Stream
Processing (SP) systems to process high-volume,
high-velocity Big Data has renewed interest in
procedures for managing these systems. In particular,
self-management and adaptation of runtime platforms
have been common research themes, as most of these
systems run under dynamic conditions. Nevertheless, the
research landscape in this area is still young and
fragmented. Most research is performed in the context
of specific systems, and it is difficult to generalize
the results obtained to other contexts. To enable
generic and reusable CEP/SP system management
procedures and self-management policies, this research
introduces the Attributed Graph Rewriting for Complex
Event Processing Management ( AGeCEP ) formalism.
AGeCEP represents queries in a language- and
technology-agnostic fashion using attributed graphs.
Query reconfiguration capabilities are expressed
through standardized attributes, which are defined
based on a novel classification of CEP query operators.
By leveraging this representation, AGeCEP also proposes
graph rewriting rules to define consistent
reconfigurations of queries. To demonstrate AGeCEP
feasibility, this research has used it to design an
autonomic manager and to define a selected set of
self-management policies. Finally, experiments
demonstrate that AGeCEP can indeed be used to develop
algorithms that can be integrated into diverse CEP
systems.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Rahman:2017:CAC,
author = "Muntasir Raihan Rahman and Lewis Tseng and Son Nguyen
and Indranil Gupta and Nitin Vaidya",
title = "Characterizing and Adapting the Consistency--Latency
Tradeoff in Distributed Key--Value Stores",
journal = j-TAAS,
volume = "11",
number = "4",
pages = "20:1--20:??",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/2997654",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Feb 9 10:46:54 MST 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The CAP theorem is a fundamental result that applies
to distributed storage systems. In this article, we
first present and prove two CAP-like impossibility
theorems. To state these theorems, we present
probabilistic models to characterize the three
important elements of the CAP theorem: consistency (C),
availability or latency (A), and partition tolerance
(P). The theorems show the un-achievable envelope, that
is, which combinations of the parameters of the three
models make them impossible to achieve together. Next,
we present the design of a class of systems called
Probabilistic CAP (PCAP) that perform close to the
envelope described by our theorems. In addition, these
systems allow applications running on a single data
center to specify either a latency Service Level
Agreement (SLA) or a consistency SLA. The PCAP systems
automatically adapt, in real time and under changing
network conditions, to meet the SLA while optimizing
the other C/A metric. We incorporate PCAP into two
popular key-value stores: Apache Cassandra and Riak.
Our experiments with these two deployments, under
realistic workloads, reveal that the PCAP systems
satisfactorily meets SLAs and perform close to the
achievable envelope. We also extend PCAP from a single
data center to multiple geo-distributed data centers.",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Roy:2017:TCS,
author = "Arijit Roy and Sudip Misra and Pushpendu Kar and Ayan
Mondal",
title = "Topology Control for Self-Adaptation in Wireless
Sensor Networks with Temporary Connection Impairment",
journal = j-TAAS,
volume = "11",
number = "4",
pages = "21:1--21:??",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/2979680",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Feb 9 10:46:54 MST 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this work, the problem of topology control for
self-adaptation in stationary Wireless Sensor Networks
(WSNs) is revisited, specifically for the case of
networks with a subset of nodes having temporary
connection impairment between them. This study focuses
on misbehaviors arising due to the presence of\enskip
``dumb'' nodes [Misra et al. 2014; Roy et al. 2014a,
2014b, 2014c; Kar and Misra 2015], which can sense its
surroundings but cannot communicate with its neighbors
due to shrinkage in its communication range by the
environmental effects attributed to change in
temperature, rainfall, and fog. However, a dumb node is
expected to behave normally on the onset of favorable
environmental conditions. Therefore, the presence of
such dumb nodes in the network gives rise to impaired
connectivity between a subset of nodes and,
consequently, results in change in topology. Such
phenomena are dynamic in nature and are thus distinct
from the phenomena attributed to traditional isolation
problems considered in stationary WSNs. Activation of
all the sensor nodes simultaneously is not necessarily
energy efficient and cost-effective. In order to
maintain self-adaptivity of the network, two
algorithms, named Connectivity Re-establishment in the
presence of Dumb nodes ( CoRD ) and Connectivity
Re-establishment in the presence of Dumb nodes Without
Applying Constraints ( CoRDWAC ), are designed. The
performance of these algorithms is evaluated through
simulation-based experiments. Further, it is also
observed that the performance of CoRD is better than
the existing topology control protocols-LETC and
A1-with respect to the number of nodes activated,
overhead, and energy consumption.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Schmerl:2017:ISS,
author = "Bradley Schmerl and Paola Inverardi",
title = "Introduction to the Special Section on Best Papers
from {SEAMS 2015}",
journal = j-TAAS,
volume = "11",
number = "4",
pages = "22:1--22:??",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3018658",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Feb 9 10:46:54 MST 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "22",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{VonKistowski:2017:MEL,
author = "J{\'o}akim {Von Kistowski} and Nikolas Herbst and
Samuel Kounev and Henning Groenda and Christian Stier
and Sebastian Lehrig",
title = "Modeling and Extracting Load Intensity Profiles",
journal = j-TAAS,
volume = "11",
number = "4",
pages = "23:1--23:??",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3019596",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Feb 9 10:46:54 MST 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Today's system developers and operators face the
challenge of creating software systems that make
efficient use of dynamically allocated resources under
highly variable and dynamic load profiles, while at the
same time delivering reliable performance. Autonomic
controllers, for example, an advanced autoscaling
mechanism in a cloud computing context, can benefit
from an abstracted load model as knowledge to
reconfigure on time and precisely. Existing workload
characterization approaches have limited support to
capture variations in the interarrival times of
incoming work units over time (i.e., a variable load
profile). For example, industrial and scientific
benchmarks support constant or stepwise increasing
load, or interarrival times defined by statistical
distributions or recorded traces. These options show
shortcomings either in representative character of load
variation patterns or in abstraction and flexibility of
their format. In this article, we present the Descartes
Load Intensity Model (DLIM) approach addressing these
issues. DLIM provides a modeling formalism for
describing load intensity variations over time. A DLIM
instance is a compact formal description of a load
intensity trace. DLIM-based tools provide features for
benchmarking, performance, and recorded load intensity
trace analysis. As manually obtaining and maintaining
DLIM instances becomes time consuming, we contribute
three automated extraction methods and devised metrics
for comparison and method selection. We discuss how
these features are used to enhance system management
approaches for adaptations during runtime, and how they
are integrated into simulation contexts and enable
benchmarking of elastic or adaptive behavior. We show
that automatically extracted DLIM instances exhibit an
average modeling error of 15.2\% over 10 different
real-world traces that cover between 2 weeks and 7
months. These results underline DLIM model
expressiveness. In terms of accuracy and processing
speed, our proposed extraction methods for the
descriptive models are comparable to existing time
series decomposition methods. Additionally, we
illustrate DLIM applicability by outlining approaches
of workload modeling in systems engineering that employ
or rely on our proposed load intensity modeling
formalism.",
acknowledgement = ack-nhfb,
articleno = "23",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Filieri:2017:CSS,
author = "Antonio Filieri and Martina Maggio and Konstantinos
Angelopoulos and Nicol{\'a}s D'Ippolito and Ilias
Gerostathopoulos and Andreas Berndt Hempel and Henry
Hoffmann and Pooyan Jamshidi and Evangelia Kalyvianaki
and Cristian Klein and Filip Krikava and Sasa
Misailovic and Alessandro V. Papadopoulos and Suprio
Ray and Amir M. Sharifloo and Stepan Shevtsov and
Mateusz Ujma and Thomas Vogel",
title = "Control Strategies for Self-Adaptive Software
Systems",
journal = j-TAAS,
volume = "11",
number = "4",
pages = "24:1--24:??",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3024188",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Feb 9 10:46:54 MST 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The pervasiveness and growing complexity of software
systems are challenging software engineering to design
systems that can adapt their behavior to withstand
unpredictable, uncertain, and continuously changing
execution environments. Control theoretical adaptation
mechanisms have received growing interest from the
software engineering community in the last few years
for their mathematical grounding, allowing formal
guarantees on the behavior of the controlled systems.
However, most of these mechanisms are tailored to
specific applications and can hardly be generalized
into broadly applicable software design and development
processes. This article discusses a reference control
design process, from goal identification to the
verification and validation of the controlled system. A
taxonomy of the main control strategies is introduced,
analyzing their applicability to software adaptation
for both functional and nonfunctional goals. A brief
extract on how to deal with uncertainty complements the
discussion. Finally, the article highlights a set of
open challenges, both for the software engineering and
the control theory research communities.",
acknowledgement = ack-nhfb,
articleno = "24",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Arcaini:2017:FDV,
author = "Paolo Arcaini and Elvinia Riccobene and Patrizia
Scandurra",
title = "Formal Design and Verification of Self-Adaptive
Systems with Decentralized Control",
journal = j-TAAS,
volume = "11",
number = "4",
pages = "25:1--25:??",
month = feb,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3019598",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Feb 9 10:46:54 MST 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Feedback control loops that monitor and adapt managed
parts of a software system are considered crucial for
realizing self-adaptation in software systems. The
MAPE-K (Monitor-Analyze-Plan-Execute over a shared
Knowledge) autonomic control loop is the most
influential reference control model for self-adaptive
systems. The design of complex distributed
self-adaptive systems having decentralized adaptation
control by multiple interacting MAPE components is
among the major challenges. In particular, formal
methods for designing and assuring the functional
correctness of the decentralized adaptation logic are
highly demanded. This article presents a framework for
formal modeling and analyzing self-adaptive systems. We
contribute with a formalism, called self-adaptive
Abstract State Machines, that exploits the concept of
multiagent Abstract State Machines to specify
distributed and decentralized adaptation control in
terms of MAPE-K control loops, also possible instances
of MAPE patterns. We support validation and
verification techniques for discovering unexpected
interfering MAPE-K loops, and for assuring correctness
of MAPE components interaction when performing
adaptation.",
acknowledgement = ack-nhfb,
articleno = "25",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bhuiyan:2017:SES,
author = "Md Zakirul Alam Bhuiyan and Jie Wu and Guojun Wang and
Tian Wang and Mohammad Mehedi Hassan",
title = "e-Sampling: Event-Sensitive Autonomous Adaptive
Sensing and Low-Cost Monitoring in Networked Sensing
Systems",
journal = j-TAAS,
volume = "12",
number = "1",
pages = "1:1--1:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/2994150",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:39 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Sampling rate adaptation is a critical issue in many
resource-constrained networked systems, including
Wireless Sensor Networks (WSNs). Existing algorithms
are primarily employed to detect events such as objects
or physical changes at a high, low, or fixed frequency
sampling usually adapted by a central unit or a sink,
therefore requiring additional resource usage.
Additionally, this algorithm potentially makes a
network unable to capture a dynamic change or event of
interest, which therefore affects monitoring quality.
This article studies the problem of a fully autonomous
adaptive sampling regarding the presence of a change or
event. We propose a novel scheme, termed
``event-sensitive adaptive sampling and low-cost
monitoring (e-Sampling)'' by addressing the problem in
two stages, which leads to reduced resource usage
(e.g., energy, radio bandwidth). First, e-Sampling
provides the embedded algorithm to adaptive sampling
that automatically switches between high- and
low-frequency intervals to reduce the resource usage,
while minimizing false negative detections. Second, by
analyzing the frequency content, e-Sampling presents an
event identification algorithm suitable for
decentralized computing in resource-constrained
networks. In the absence of an event, the
``uninteresting'' data is not transmitted to the sink.
Thus, the energy cost is further reduced. e-Sampling
can be useful in a broad range of applications. We
apply e-Sampling to Structural Health Monitoring (SHM)
and Fire Event Monitoring (FEM), which are typical
applications of high-frequency events. Evaluation via
both simulations and experiments validates the
advantages of e-Sampling in low-cost event monitoring,
and in effectively expanding the capacity of WSNs for
high data rate applications.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mali:2017:TMB,
author = "Goutam Mali and Sudip Misra",
title = "Topology Management-Based Distributed Camera Actuation
in Wireless Multimedia Sensor Networks",
journal = j-TAAS,
volume = "12",
number = "1",
pages = "2:1--2:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3014430",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:39 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Wireless Multimedia Sensor Networks (WMSNs) involving
camera and Scalar Sensor (SS) nodes provide precise
information of events occurring in the monitored region
by transmitting video packets. In WMSNs, it is
necessary to provide coverage of events occurring in
the monitored region for longer durations of time. The
Camera Sensor (CS) nodes provide the coverage of an
event and transmit the video data to the Base Station
(BS), when these nodes are actuated by the associated
SS nodes on occurring of an event. Therefore, in the
existing pieces of work, distributed actuation focuses
on the coverage of an event and prolongation of the
lifetime of the CS nodes. However, for distributed
actuation of the CS nodes, the SS nodes play a vital
role. When the data sent by the associated SS nodes in
an event area exceed the preconfigured threshold, the
CS nodes start sensing the event and send the video
data to the BS. Therefore, in addition to the lifetime
of the CS nodes, the lifetime of the SS nodes and their
data reporting latencies are important aspects for
distributed actuation of the CS nodes, while sending
both the video and scalar data to the BS. In this work,
we propose a topology management-based distributed
camera actuation scheme, named TADA, to prolong the
lifetime of SS nodes, and decrease the data reporting
latency in event area only. The increased lifetime of
the SS nodes, in turn, increases the event coverage and
packet delivery ratio. To increase the lifetime of the
SS nodes in an event area, the SS nodes with the most
residual energies are selected as the packet
aggregators. In addition, the transmission range of
these nodes is decreased, and in-network packet
aggregation is performed, while reporting the happening
of an event to the associated CS nodes. The aggregator
selection mechanism helps in balancing energy
consumption of the SS nodes. Similarly, the decrease in
transmission range and aggregation mechanism help in
decreasing energy consumption of these nodes. The
transmission range of the SS nodes is decreased using
social network analysis and Coalition Formation Game
(CFG). CFG also helps in decreasing the data reporting
latency of an event by the SS nodes to their associated
CS nodes. Performance evaluation results show that the
proposed scheme, TADA, which is based on the
distributed topology management protocol named T-Must,
achieves high performance in terms of the lifetime of
the SS nodes, data reporting latency, coverage ratio of
the event, event reporting credibility index, and
packet delivery ratio in an environment affected by
shadow fading.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Sharma:2017:TAC,
author = "Gokarna Sharma and Costas Busch and Supratik
Mukhopadhyay and Charles Malveaux",
title = "Tight Analysis of a Collisionless Robot Gathering
Algorithm",
journal = j-TAAS,
volume = "12",
number = "1",
pages = "3:1--3:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3056460",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:39 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We consider the fundamental problem of gathering a set
of n robots in the Euclidean plane that have a physical
extent and hence cannot share their positions with
other robots. The objective is to determine a minimum
time schedule to gather the robots as close together as
possible around a predefined gathering point avoiding
collisions. This problem with minimum time objective
has applications in many real-world scenarios including
fast autonomous coverage formation. Cord-Landwehr et
al. (in Proceedings of the International Conference on
Current Trends in Theory and Practice of Computer
Science, 2011) gave a local greedy algorithm in a fully
synchronous setting and proved that, for the discrete
version of the problem where robots' movements are
restricted to the positions on an integral grid, their
algorithm solves this problem in O ( nR ) rounds, where
R is the distance from the farthest initial robot
position to the gathering point. In this article, we
improve significantly the round complexity of their
algorithm to R + 2 $ \cdot $ ( n --- 1) rounds. This
round complexity is obtained in the following modified
model: (1) the viewing range of the robots is increased
to three hops and (2) robots can additionally move to
the diagonally opposite corner to a grid cell in one
step-that is, they can traverse the two corresponding
grid edges in one time step. We also prove that there
are initial configurations of n robots in this problem
where at least R +{\&}frac;(n-1)/2 rounds are needed by
any local greedy algorithm. Furthermore, we improve the
lower bound to R + ( n --- 1) rounds for the algorithm
of Cord-Landwehr et al. These results altogether
provide a tight runtime analysis of their algorithm.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{OToole:2017:DDE,
author = "Eamonn O'Toole and Vivek Nallur and Siobh{\'a}n
Clarke",
title = "Decentralised Detection of Emergence in Complex
Adaptive Systems",
journal = j-TAAS,
volume = "12",
number = "1",
pages = "4:1--4:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3019597",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:39 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "This article describes Decentralised Emergence
Detection (DETect), a novel distributed algorithm that
enables agents to collaboratively detect emergent
events in Complex Adaptive Systems (CAS).
Non-deterministic interactions between agents in CAS
can give rise to emergent behaviour or properties at
the system level. The nature, timing, and consequence
of emergence is unpredictable and may be harmful to the
system or individual agents. DETect relies on the
feedback that occurs from the system level (macro) to
the agent level (micro) when emergence occurs. This
feedback constrains agents at the micro level and
results in changes occurring in the relationship
between an agent and its environment. DETect uses
statistical methods to automatically select the
properties of the agent and environment to monitor and
tracks the relationship between these properties over
time. When a significant change is detected, the
algorithm uses distributed consensus to determine if a
sufficient number of agents have simultaneously
experienced a similar change. On agreement of
emergence, DETect raises an event, which its agent or
other interested observers can use to act
appropriately. The approach is evaluated using a
multi-agent case study.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Rodriguez:2017:BDS,
author = "Maria A. Rodriguez and Rajkumar Buyya",
title = "Budget-Driven Scheduling of Scientific Workflows in
{IaaS} Clouds with Fine-Grained Billing Periods",
journal = j-TAAS,
volume = "12",
number = "2",
pages = "5:1--5:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3041036",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:40 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib;
https://www.math.utah.edu/pub/tex/bib/virtual-machines.bib",
abstract = "With the advent of cloud computing and the
availability of data collected from increasingly
powerful scientific instruments, workflows have become
a prevailing mean to achieve significant scientific
advances at an increased pace. Scheduling algorithms
are crucial in enabling the efficient automation of
these large-scale workflows, and considerable effort
has been made to develop novel heuristics tailored for
the cloud resource model. The majority of these
algorithms focus on coarse-grained billing periods that
are much larger than the average execution time of
individual tasks. Instead, our work focuses on emerging
finer-grained pricing schemes (e.g., per-minute
billing) that provide users with more flexibility and
the ability to reduce the inherent wastage that results
from coarser-grained ones. We propose a scheduling
algorithm whose objective is to optimize a workflow's
execution time under a budget constraint; quality of
service requirement that has been overlooked in favor
of optimizing cost under a deadline constraint. Our
proposal addresses fundamental challenges of clouds
such as resource elasticity, abundance, and
heterogeneity, as well as resource performance
variation and virtual machine provisioning delays. The
simulation results demonstrate our algorithm's
responsiveness to environmental uncertainties and its
ability to generate high-quality schedules that comply
with the budget constraint while achieving faster
execution times when compared to state-of-the-art
algorithms.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wang:2017:SMC,
author = "Yang Wang and Bharadwaj Veeravalli and Chen-Khong Tham
and Shuibing He and Chengzhong Xu",
title = "On Service Migrations in the Cloud for Mobile
Accesses: a Distributed Approach",
journal = j-TAAS,
volume = "12",
number = "2",
pages = "6:1--6:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3050438",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:40 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib;
https://www.math.utah.edu/pub/tex/bib/virtual-machines.bib",
abstract = "We study the problem of dynamically migrating a
service in the cloud to satisfy an online sequence of
mobile batch-request demands in a cost-effective way.
The service may have single or multiple replicas, each
running on a virtual machine. As the origin of mobile
accesses frequently changes over time, this problem is
particularly important for time-bounded services to
achieve enhanced Quality of Service and cost
effectiveness. Moving the service closer to the client
locations not only reduces the service access latency
but also minimizes the network costs for service
providers. However, these benefits are not free. The
migration comes at a cost of bulk-data transfer and
service disruption, and hence, increasing the overall
service costs. To gain the benefits of service
migration while minimizing the caused monetary costs,
we propose an efficient search-based algorithm Dmig to
migrate a single server, and then extend it as a
scalable algorithm, called mDmig, to the multi-server
situation, a more general case in the cloud. Both
algorithms are fully distributed, symmetric, and
characterized by the effective use of historical access
information to conduct virtual migration so that the
limitations of local search in the cost reduction can
be overcome. To evaluate the algorithms, we compared
them with some existing algorithms and an off-line
algorithm. Our simulation results showed that the
proposed algorithms exhibit better performance in
service migration by adapting to the changes of mobile
access patterns in a cost-effective way.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bartolini:2017:AMS,
author = "Novella Bartolini and Tiziana Calamoneri and Stefano
Ciavarella and Thomas {La Porta} and Simone Silvestri",
title = "Autonomous Mobile Sensor Placement in Complex
Environments",
journal = j-TAAS,
volume = "12",
number = "2",
pages = "7:1--7:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3050439",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:40 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In this article, we address the problem of
autonomously deploying mobile sensors in an unknown
complex environment. In such a scenario, mobile sensors
may encounter obstacles or environmental sources of
noise, so that movement and sensing capabilities can be
significantly altered and become anisotropic. Any
reduction of device capabilities cannot be known prior
to their actual deployment, nor can it be predicted. We
propose a new algorithm for autonomous sensor movements
and positioning, called DOMINO (DeplOyment of MobIle
Networks with Obstacles). Unlike traditional
approaches, DOMINO explicitly addresses these issues by
realizing a grid-based deployment throughout the Area
of Interest (AoI) and subsequently refining it to cover
the target area more precisely in the regions where
devices experience reduced sensing. We demonstrate the
capability of DOMINO to entirely cover the AoI in a
finite time. We also give bounds on the number of
sensors necessary to cover an AoI with asperities.
Simulations show that DOMINO provides a fast deployment
with precise movements and no oscillations, with
moderate energy consumption. Furthermore, DOMINO
provides better performance than previous solutions in
all the operative settings.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wang:2017:IRL,
author = "Hongbign Wang and Xin Chen and Qin Wu and Qi Yu and
Xingguo Hu and Zibin Zheng and Athman Bouguettaya",
title = "Integrating Reinforcement Learning with Multi-Agent
Techniques for Adaptive Service Composition",
journal = j-TAAS,
volume = "12",
number = "2",
pages = "8:1--8:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3058592",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:40 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Service-oriented architecture is a widely used
software engineering paradigm to cope with complexity
and dynamics in enterprise applications. Service
composition, which provides a cost-effective way to
implement software systems, has attracted significant
attention from both industry and research communities.
As online services may keep evolving over time and thus
lead to a highly dynamic environment, service
composition must be self-adaptive to tackle uninformed
behavior during the evolution of services. In addition,
service composition should also maintain high
efficiency for large-scale services, which are common
for enterprise applications. This article presents a
new model for large-scale adaptive service composition
based on multi-agent reinforcement learning. The model
integrates reinforcement learning and game theory,
where the former is to achieve adaptation in a highly
dynamic environment and the latter is to enable agents
to work for a common task (i.e., composition). In
particular, we propose a multi-agent Q-learning
algorithm for service composition, which is expected to
achieve better performance when compared with the
single-agent Q-learning method and multi-agent SARSA
(State-Action-Reward-State-Action) method. Our
experimental results demonstrate the effectiveness and
efficiency of our approach.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Marinescu:2017:PBM,
author = "Andrei Marinescu and Ivana Dusparic and Siobh{\'a}n
Clarke",
title = "Prediction-Based Multi-Agent Reinforcement Learning in
Inherently Non-Stationary Environments",
journal = j-TAAS,
volume = "12",
number = "2",
pages = "9:1--9:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3070861",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:40 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Multi-agent reinforcement learning (MARL) is a widely
researched technique for decentralised control in
complex large-scale autonomous systems. Such systems
often operate in environments that are continuously
evolving and where agents' actions are
non-deterministic, so called inherently non-stationary
environments. When there are inconsistent results for
agents acting on such an environment, learning and
adapting is challenging. In this article, we propose
P-MARL, an approach that integrates prediction and
pattern change detection abilities into MARL and thus
minimises the effect of non-stationarity in the
environment. The environment is modelled as a
time-series, with future estimates provided using
prediction techniques. Learning is based on the
predicted environment behaviour, with agents employing
this knowledge to improve their performance in
realtime. We illustrate P-MARL's performance in a
real-world smart grid scenario, where the environment
is heavily influenced by non-stationary power demand
patterns from residential consumers. We evaluate P-MARL
in three different situations, where agents' action
decisions are independent, simultaneous, and
sequential. Results show that all methods outperform
traditional MARL, with sequential P-MARL achieving best
results.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Budhraja:2017:FCC,
author = "Karan K. Budhraja and John Winder and Tim Oates",
title = "Feature Construction for Controlling Swarms by Visual
Demonstration",
journal = j-TAAS,
volume = "12",
number = "2",
pages = "10:1--10:??",
month = may,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3084541",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 24 18:16:40 MDT 2017",
bibsource = "http://portal.acm.org/;
https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Agent-based modeling is a paradigm of modeling dynamic
systems of interacting agents that are individually
governed by specified behavioral rules. Training a
model of such agents to produce an emergent behavior by
specification of the emergent (as opposed to agent)
behavior is easier from a demonstration perspective.
While many approaches involve manual behavior
specification via code or reliance on a defined
taxonomy of possible behaviors, the meta-modeling
framework in Miner [2010] generates mapping functions
between agent-level parameters and swarm-level
parameters, which are re-usable once generated. This
work builds on that framework by integrating
demonstration by image or video. The demonstrator
specifies spatial motion of the agents over time and
retrieves agent-level parameters required to execute
that motion. The framework, at its core, uses
computationally cheap image-processing algorithms. Our
work is tested with a combination of primitive visual
feature extraction methods (contour area and shape) and
features generated using a pre-trained deep neural
network in different stages of image featurization. The
framework is also evaluated for its potential using
complex visual features for all image featurization
stages. Experimental results show significant coherence
between demonstrated behavior and predicted behavior
based on estimated agent-level parameters specific to
the spatial arrangement of agents.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Cabri:2017:SSR,
author = "Giacomo Cabri and Gauthier Picard and Niranjan Suri",
title = "{SASO 2016}: Selected, Revised, and Extended Best
Papers",
journal = j-TAAS,
volume = "12",
number = "3",
pages = "11:1--11:??",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3127332",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Jan 20 09:33:08 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The IEEE International Conference on Self-Adapting and
Self-Organizing Systems (SASO) is the main forum for
studying and discussing the foundations of a principled
approach to engineering systems, networks, and services
based on self-adaptation and self-organization. Over
the past decade, it has consolidated as the primary
scientific conference for sharing ideas on algorithms,
technologies, tools, and applications across a wide
range of scientific fields. In 2016, the conference was
hosted by the University of Augsburg, in Augsburg,
Germany; its scientific program comprised full papers,
short papers, poster and demo presentations, workshops,
doctoral symposium and tutorials. This special issue of
ACM TAAS champions some of the most solid research
results of SASO 2016, presenting selected, revised, and
extended best articles.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Beal:2017:SAD,
author = "Jacob Beal and Mirko Viroli and Danilo Pianini and
Ferruccio Damiani",
title = "Self-Adaptation to Device Distribution in the
{Internet of Things}",
journal = j-TAAS,
volume = "12",
number = "3",
pages = "12:1--12:??",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3105758",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Jan 20 09:33:08 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A key problem when coordinating the behaviour of
spatially situated networks, like those typically found
in the Internet of Things (IoT), is adaptation to
changes impacting network topology, density, and
heterogeneity. Computational goals for such systems,
however, are often dependent on geometric properties of
the continuous environment in which the devices are
situated rather than the particulars of how devices
happen to be distributed through it. In this article,
we identify a new property of distributed algorithms,
eventual consistency, which guarantees that computation
converges to a final state that approximates a
predictable limit, based on the continuous environment,
as the density and speed of devices increases. We then
identify a large class of programs that are eventually
consistent, building on prior results on the field
calculus computational model (Beal et al. 2015; Viroli
et al. 2015a) that identify a class of self-stabilizing
programs. Finally, we confirm through simulation of IoT
application scenarios that eventually consistent
programs from this class can provide resilient behavior
where programs that are only converging fail badly.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Petruzzi:2017:ESC,
author = "Patricio E. Petruzzi and Jeremy Pitt and D{\'\i}dac
Busquets",
title = "Electronic Social Capital for Self-Organising
Multi-Agent Systems",
journal = j-TAAS,
volume = "12",
number = "3",
pages = "13:1--13:??",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3124642",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Jan 20 09:33:08 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "It is a recurring requirement in open systems, such as
networks, distributed systems, and socio-technical
systems, that a group of agents must coordinate their
behaviour for the common good. In those systems-where
agents are heterogeneous-unexpected behaviour can occur
due to errors or malice. Agents whose practices
free-ride the system can be accepted to a certain
level; however, not only do they put the stability of
the system at risk, but they also compromise the agents
that behave according to the system's rules. In social
systems, it has been observed that social capital is an
attribute of individuals that enhances their ability to
solve collective action problems. Sociologists have
studied collective action through human societies and
observed that social capital plays an important role in
maintaining communities though time as well as in
simplifying the decision-making in them. In this work,
we explore the use of Electronic Social Capital for
optimising self-organised collective action. We
developed a context-independent Electronic Social
Capital framework to test this hypothesis. The
framework comprises a set of handlers that capture
events from the system and update three different forms
of social capital: trustworthiness, networks, and
institutions. Later, a set of metrics are generated by
the forms of social capital and used for
decision-making. The framework was tested in different
scenarios such as two-player games, n -player games,
and public goods games. The experimental results show
that social capital optimises the outcomes (in terms of
long-term satisfaction and utility), reduces the
complexity of decision-making, and scales with the size
of the population. This work proposes an alternative
solution using Electronic Social Capital to represent
and reason with qualitative, instead of traditional
quantitative, values. This solution could be embedded
into socio-technical systems to incentivise collective
action without commodifying the resources or actions in
the system.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Silva:2017:HLA,
author = "Fernando Silva and Lu{\'\i}s Correia and Anders Lyhne
Christensen",
title = "Hyper-Learning Algorithms for Online Evolution of
Robot Controllers",
journal = j-TAAS,
volume = "12",
number = "3",
pages = "14:1--14:??",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3092815",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Jan 20 09:33:08 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A long-standing goal in artificial intelligence and
robotics is synthesising agents that can effectively
learn and adapt throughout their lifetime. One
open-ended approach to behaviour learning in autonomous
robots is online evolution, which is part of the
evolutionary robotics field of research. In online
evolution approaches, an evolutionary algorithm is
executed on the robots during task execution, which
enables continuous optimisation and adaptation of
behaviour. Despite the potential for automatic
behaviour learning, online evolution has not been
widely adopted because it often requires several hours
or days to synthesise solutions to a given task. In
this respect, research in the field has failed to
develop a prevalent algorithm able to effectively
synthesise solutions to a large number of different
tasks in a timely manner. Rather than focusing on a
single algorithm, we argue for more general mechanisms
that can combine the benefits of different algorithms
to increase the performance of online evolution of
robot controllers. We conduct a comprehensive
assessment of a novel approach called online
hyper-evolution (OHE). Robots executing OHE use the
different sources of feedback information traditionally
associated with controller evaluation to find effective
evolutionary algorithms during task execution. First,
we study two approaches: OHE-fitness, which uses the
fitness score of controllers as the criterion to select
promising algorithms over time, and OHE-diversity,
which relies on the behavioural diversity of
controllers for algorithm selection. We then propose a
novel class of techniques called OHE-hybrid, which
combine diversity and fitness to search for suitable
algorithms. In addition to their effectiveness at
selecting suitable algorithms, the different OHE
approaches are evaluated for their ability to construct
algorithms by controlling which algorithmic components
should be employed for controller generation (e.g.,
mutation, crossover, among others), an unprecedented
approach in evolutionary robotics. Results show that
OHE (i) facilitates the evolution of controllers with
high performance, (ii) can increase effectiveness at
different stages of evolution by combining the benefits
of multiple algorithms over time, and (iii) can be
effectively applied to construct new algorithms during
task execution. Overall, our study shows that OHE is a
powerful new paradigm that allows robots to improve
their learning process as they operate in the task
environment.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Hofstadler:2017:ECN,
author = "Daniel Nicolas Hofstadler and Mostafa Wahby and Mary
Katherine Heinrich and Heiko Hamann and Payam Zahadat
and Phil Ayres and Thomas Schmickl",
title = "Evolved Control of Natural Plants: Crossing the
Reality Gap for User-Defined Steering of Growth and
Motion",
journal = j-TAAS,
volume = "12",
number = "3",
pages = "15:1--15:??",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3124643",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Jan 20 09:33:08 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Mixing societies of natural and artificial systems can
provide interesting and potentially fruitful research
targets. Here we mix robotic setups and natural plants
in order to steer the motion behavior of plants while
growing. The robotic setup uses a camera to observe the
plant and uses a pair of light sources to trigger
phototropic response, steering the plant to
user-defined targets. An evolutionary robotic approach
is used to design a controller for the setup.
Initially, preliminary experiments are performed with a
simple predetermined controller and a growing bean
plant. The plant behavior in response to the simple
controller is captured by image processing, and a model
of the plant tip dynamics is developed. The model is
used in simulation to evolve a robot controller that
steers the plant tip such that it follows a number of
randomly generated target points. Finally, we test the
simulation-evolved controller in the real setup
controlling a natural bean plant. The results
demonstrate a successful crossing of the reality gap in
the setup. The success of the approach allows for
future extensions to more complex tasks including
control of the shape of plants and pattern formation in
multiple plant setups.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Filho:2017:DES,
author = "Roberto Rodrigues Filho and Barry Porter",
title = "Defining Emergent Software Using Continuous
Self-Assembly, Perception, and Learning",
journal = j-TAAS,
volume = "12",
number = "3",
pages = "16:1--16:??",
month = oct,
year = "2017",
CODEN = "????",
DOI = "https://doi.org/10.1145/3092691",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Jan 20 09:33:08 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Architectural self-organisation, in which different
configurations of software modules are dynamically
assembled based on the current context, has been shown
to be an effective way for software to self-optimise
over time. Current approaches to this rely heavily on
human-led definitions: models, policies, and processes
to control how self-organisation works. We present the
case for a paradigm shift to fully emergent computer
software that places the burden of understanding
entirely into the hands of software itself. These
systems are autonomously assembled at runtime from
discovered constituent parts and their internal health
and external deployment environment continually
monitored. An online, unsupervised learning system then
uses runtime adaptation to continuously explore
alternative system assemblies and locate optimal
solutions. Based on our experience over the past 3
years, we define the problem space of emergent software
and present a working case study of an emergent web
server as a concrete example of the paradigm. Our
results demonstrate two main aspects of the problem
space for this case study: that different assemblies of
behaviour are optimal in different deployment
environment conditions and that these assemblies can be
autonomously learned from generalised perception data
while the system is online.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Parashar:2018:FE,
author = "Manish Parashar and Franco Zambonelli",
title = "Farewell Editorial",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "17:1--17:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3149484",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Afanasov:2018:SAW,
author = "Mikhail Afanasov and Luca Mottola and Carlo Ghezzi",
title = "Software Adaptation in Wireless Sensor Networks",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "18:1--18:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3145453",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "We present design concepts, programming constructs,
and automatic verification techniques to support the
development of adaptive Wireless Sensor Network (WSN)
software. WSNs operate at the interface between the
physical world and the computing machine and are hence
exposed to unpredictable environment dynamics. WSN
software must adapt to these dynamics to maintain
dependable and efficient operation. However, developers
are left without proper support to develop adaptive
functionality in WSN software. Our work fills this gap
with three key contributions: (i) design concepts help
developers organize the necessary adaptive
functionality and understand their relations, (ii)
dedicated programming constructs simplify the
implementations, (iii) custom verification techniques
allow developers to check the correctness of their
design before deployment. We implement dedicated tool
support to tie the three contributions, facilitating
their practical application. Our evaluation considers
representative WSN applications to analyze code
metrics, synthetic simulations, and cycle-accurate
emulation of popular WSN platforms. The results
indicate that our work is effective in simplifying the
development of adaptive WSN software; for example,
implementations are provably easier to test and to
maintain, the run-time overhead of our dedicated
programming constructs is negligible, and our
verification techniques return results in a matter of
seconds.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Guo:2018:PCC,
author = "Tian Guo and Prashant Shenoy",
title = "Performance and Cost Considerations for Providing
Geo-Elasticity in Database Clouds",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "19:1--19:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3095891",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Online applications that serve global workload have
become a norm and those applications are experiencing
not only temporal but also spatial workload variations.
In addition, more applications are hosting their
backend tiers separately for benefits such as ease of
management. To provision for such applications,
traditional elasticity approaches that only consider
temporal workload dynamics and assume well-provisioned
backends are insufficient. Instead, in this article, we
propose a new type of provisioning
mechanisms-geo-elasticity, by utilizing distributed
clouds with different locations. Centered on this idea,
we build a system called DBScale that tracks geographic
variations in the workload to dynamically provision
database replicas at different cloud locations across
the globe. Our geo-elastic provisioning approach
comprises a regression-based model that infers database
query workload from spatially distributed front-end
workload, a two-node open queueing network model that
estimates the capacity of databases serving both CPU
and I/O-intensive query workloads and greedy algorithms
for selecting best cloud locations based on latency and
cost. We implement a prototype of our DBScale system on
Amazon EC2's distributed cloud. Our experiments with
our prototype show up to a 66\% improvement in response
time when compared to local elasticity approaches.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Semwal:2018:OMR,
author = "Tushar Semwal and Shashi Shekhar Jha and Shivashankar
B. Nair",
title = "On Ordering Multi-Robot Task Executions within a Cyber
Physical System",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "20:1--20:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3124677",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "With robots entering the world of Cyber Physical
Systems (CPS), ordering the execution of allocated
tasks during runtime becomes crucial. This is so
because, in the real world, there can be several
physical tasks that use shared resources that need to
be executed concurrently. In this article, we propose a
mechanism to solve this issue of ordering task
executions within a CPS that inherently handles mutual
exclusion. The mechanism caters to a decentralized and
distributed CPS comprising nodes such as computers,
robots, and sensor nodes and uses mobile software
agents that knit through them to aid the execution of
the various tasks while also ensuring mutual exclusion
of shared resources. The computations, communications,
and control are achieved through these mobile agents.
Physical execution of the tasks is performed by the
robots in an asynchronous and pipelined manner without
the use of a clock. The mechanism also features
addition and deletion of tasks and insertion and
removal of robots facilitating On-The-Fly Programming.
As an application, a Warehouse Management System as a
CPS has been implemented. The article concludes with
the results and discussions on using the mechanism in
both emulated and real-world environments.",
acknowledgement = ack-nhfb,
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Ferroni:2018:MRC,
author = "Matteo Ferroni and Andrea Corna and Andrea Damiani and
Rolando Brondolin and John D. Kubiatowicz and Donatella
Sciuto and Marco D. Santambrogio",
title = "{MARC}: a Resource Consumption Modeling Service for
Self-Aware Autonomous Agents",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "21:1--21:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3127499",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Autonomicity is a golden feature when dealing with a
high level of complexity. This complexity can be
tackled partitioning huge systems in small autonomous
modules, i.e., agents. Each agent then needs to be
capable of extracting knowledge from its environment
and to learn from it, in order to fulfill its goals:
this could not be achieved without proper modeling
techniques that allow each agent to gaze beyond its
sensors. Unfortunately, the simplicity of agents and
the complexity of modeling do not fit together, thus
demanding for a third party to bridge the gap. Given
the opportunities in the field, the main contributions
of this work are twofold: (1) we propose a general
methodology to model resource consumption trends and
(2) we implemented it into MARC, a Cloud-service
platform that produces Models-as-a-Service, thus
relieving self-aware agents from the burden of building
their custom modeling framework. In order to validate
the proposed methodology, we set up a custom simulator
to generate a wide spectrum of controlled traces: this
allowed us to verify the correctness of our framework
from a general and comprehensive point of view.",
acknowledgement = ack-nhfb,
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kuze:2018:HOC,
author = "Naomi Kuze and Daichi Kominami and Kenji Kashima and
Tomoaki Hashimoto and Masayuki Murata",
title = "Hierarchical Optimal Control Method for Controlling
Large-Scale Self-Organizing Networks",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "22:1--22:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3124644",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-organization has the potential for high
scalability, adaptability, flexibility, and robustness,
which are vital features for realizing future networks.
The convergence of self-organizing control, however, is
slow in some practical applications in comparison with
control by conventional deterministic systems using
global information. It is therefore important to
facilitate the convergence of self-organizing controls.
In controlled self-organization, which introduces an
external controller into self-organizing systems, the
network is controlled to guide systems to a desired
state. Although existing controlled self-organization
schemes could achieve the same state, it is difficult
for an external controller to collect information about
the network and to provide control inputs to the
network, especially when the network size is large.
This is because the computational cost for designing
the external controller and for calculating the control
inputs increases rapidly as the number of nodes in the
network becomes large. Therefore, we partition a
network into several sub-networks and introduce two
types of controllers, a central controller and several
sub-controllers that control the network in a
hierarchical manner. In this study, we propose a
hierarchical optimal feedback mechanism for
self-organizing systems and apply this mechanism to
potential-based self-organizing routing. Simulation
results show that the proposed mechanism improves the
convergence speed of potential-field construction
(i.e., route construction) up to 10.6-fold with low
computational and communication costs.",
acknowledgement = ack-nhfb,
articleno = "22",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Hao:2018:ERE,
author = "Jianye Hao and Jun Sun and Guangyong Chen and Zan Wang
and Chao Yu and Zhong Ming",
title = "Efficient and Robust Emergence of Norms through
Heuristic Collective Learning",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "23:1--23:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3127498",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "In multiagent systems, social norms serves as an
important technique in regulating agents' behaviors to
ensure effective coordination among agents without a
centralized controlling mechanism. In such a
distributed environment, it is important to investigate
how a desirable social norm can be synthesized in a
bottom-up manner among agents through repeated local
interactions and learning techniques. In this article,
we propose two novel learning strategies under the
collective learning framework, collective learning EV-l
and collective learning EV-g, to efficiently facilitate
the emergence of social norms. Extensive simulations
results show that both learning strategies can support
the emergence of desirable social norms more
efficiently and be applicable in a wider range of
multiagent interaction scenarios compared with previous
work. The influence of different topologies is
investigated, which shows that the performance of all
strategies is robust across different network
topologies. The influences of a number of key factors
(neighborhood size, actions space, population size,
fixed agents and isolated subpopulations) on norm
emergence performance are investigated as well.",
acknowledgement = ack-nhfb,
articleno = "23",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Liu:2018:SAP,
author = "Xunyun Liu and Amir Vahid Dastjerdi and Rodrigo N.
Calheiros and Chenhao Qu and Rajkumar Buya",
title = "A Stepwise Auto-Profiling Method for Performance
Optimization of Streaming Applications",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "24:1--24:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3132618",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Data stream management systems (DSMSs) are scalable,
highly available, and fault-tolerant systems that
aggregate and analyze real-time data in motion. To
continuously perform analytics on the fly within the
stream, state-of-the-art DSMSs host streaming
applications as a set of interconnected operators, with
each operator encapsulating the semantic of a specific
operation. For parallel execution on a particular
platform, these operators need to be appropriately
replicated in multiple instances that split and process
the workload simultaneously. Because the way operators
are partitioned affects the resulting performance of
streaming applications, it is essential for DSMSs to
have a method to compare different operators and make
holistic replication decisions to avoid performance
bottlenecks and resource wastage. To this end, we
propose a stepwise profiling approach to optimize
application performance on a given execution platform.
It automatically scales distributed computations over
streams based on application features and processing
power of provisioned resources and builds the
relationship between provisioned resources and
application performance metrics to evaluate the
efficiency of the resulting configuration. Experimental
results confirm that the proposed approach successfully
fulfills its goals with minimal profiling overhead.",
acknowledgement = ack-nhfb,
articleno = "24",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Fokaefs:2018:DBE,
author = "Marios Fokaefs and Cornel Barna and Marin Litoiu",
title = "From {DevOps} to {BizOps}: Economic Sustainability for
Scalable Cloud Applications",
journal = j-TAAS,
volume = "12",
number = "4",
pages = "25:1--25:??",
month = jan,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3139290",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib;
https://www.math.utah.edu/pub/tex/bib/virtual-machines.bib",
abstract = "Virtualization of resources in cloud computing has
enabled developers to commission and recommission
resources at will and on demand. This virtualization is
a coin with two sides. On one hand, the flexibility in
managing virtual resources has enabled developers to
efficiently manage their costs; they can easily remove
unnecessary resources or add resources temporarily when
the demand increases. On the other hand, the volatility
of such environment and the velocity with which changes
can occur may have a greater impact on the economic
position of a stakeholder and the business balance of
the overall ecosystem. In this work, we recognise the
business ecosystem of cloud computing as an economy of
scale and explore the effect of this fact on decisions
concerning scaling the infrastructure of web
applications to account for fluctuations in demand. The
goal is to reveal and formalize opportunities for
economically optimal scaling that takes into account
not only the cost of infrastructure but also the
revenue from service delivery and eventually the profit
of the service provider. The end product is a scaling
mechanism that makes decisions based on both
performance and economic criteria and takes adaptive
actions to optimize both performance and profitability
for the system.",
acknowledgement = ack-nhfb,
articleno = "25",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Angelopoulos:2018:ESA,
author = "Konstantinos Angelopoulos and Alessandro V.
Papadopoulos and V{\'\i}tor E. Silva Souza and John
Mylopoulos",
title = "Engineering Self-Adaptive Software Systems: From
Requirements to Model Predictive Control",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "1:1--1:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3105748",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Self-adaptive software systems monitor their operation
and adapt when their requirements fail due to
unexpected phenomena in their environment. This article
examines the case where the environment changes
dynamically over time and the chosen adaptation has to
take into account such changes. In control theory, this
type of adaptation is known as Model Predictive Control
and comes with a well-developed theory and myriad
successful applications. The article focuses on
modeling the dynamic relationship between requirements
and possible adaptations. It then proposes a controller
that exploits this relationship to optimize the
satisfaction of requirements relative to a cost
function. This is accomplished through a model-based
framework for designing self-adaptive software systems
that can guarantee a certain level of requirements
satisfaction over time by dynamically composing
adaptation strategies when necessary. The proposed
framework is illustrated and evaluated through two
simulated systems, namely, the Meeting-Scheduling
exemplar and an E-Shop.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Nuseibeh:2018:EF,
author = "Bashar Nuseibeh",
title = "Editorial: The First",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "1:1--1:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3199656",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
acknowledgement = ack-nhfb,
articleno = "1e",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wang:2018:ECM,
author = "Cheng Wang and Bhuvan Urgaonkar and George Kesidis and
Aayush Gupta and Lydia Y. Chen and Robert Birke",
title = "Effective Capacity Modulation as an Explicit Control
Knob for Public Cloud Profitability",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "2:1--2:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3139291",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib;
https://www.math.utah.edu/pub/tex/bib/virtual-machines.bib",
abstract = "In this article, we explore the efficacy of dynamic
effective capacity modulation (i.e., using
virtualization techniques to offer lower resource
capacity than that advertised by the cloud provider) as
a control knob for a cloud provider's profit
maximization complementing the more well-studied
approach of dynamic pricing. In particular, our focus
is on emerging cloud ecosystems wherein we expect
tenants to modify their demands strategically in
response to such modulation in effective capacity and
prices. Toward this, we consider a simple model of a
cloud provider that offers a single type of virtual
machine to its tenants and devise a leader/follower
game-based cloud control framework to capture the
interactions between the provider and its tenants. We
assume both parties employ myopic control and
short-term predictions to reflect their operation under
the high dynamism and poor predictability in such
environments. Our evaluation using a combination of
real data center traces and real-world benchmarks
hosted on a prototype OpenStack-based cloud shows 10\%
to 30\% profit improvement for a cloud provider
compared with baselines that use static pricing and/or
static effective capacity.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Moreno:2018:FED,
author = "Gabriel A. Moreno and Javier C{\'a}mara and David
Garlan and Bradley Schmerl",
title = "Flexible and Efficient Decision-Making for Proactive
Latency-Aware Self-Adaptation",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "3:1--3:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3149180",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Proactive latency-aware adaptation is an approach for
self-adaptive systems that considers both the current
and anticipated adaptation needs when making adaptation
decisions, taking into account the latency of the
available adaptation tactics. Since this is a problem
of selecting adaptation actions in the context of the
probabilistic behavior of the environment, Markov
decision processes (MDPs) are a suitable approach.
However, given all the possible interactions between
the different and possibly concurrent adaptation
tactics, the system, and the environment, constructing
the MDP is a complex task. Probabilistic model checking
has been used to deal with this problem, but it
requires constructing the MDP every time an adaptation
decision is made to incorporate the latest predictions
of the environment behavior. In this article, we
describe PLA-SDP, an approach that eliminates that
runtime overhead by constructing most of the MDP
offline. At runtime, the adaptation decision is made by
solving the MDP through stochastic dynamic programming,
weaving in the environment model as the solution is
computed. We also present extensions that support
different notions of utility, such as maximizing reward
gain subject to the satisfaction of a probabilistic
constraint, making PLA-SDP applicable to systems with
different kinds of adaptation goals.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Iannucci:2018:MBR,
author = "Stefano Iannucci and Sherif Abdelwahed",
title = "Model-Based Response Planning Strategies for Autonomic
Intrusion Protection",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "4:1--4:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3168446",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The continuous increase in the quantity and
sophistication of cyberattacks is making it more
difficult and error prone for system administrators to
handle the alerts generated by intrusion detection
systems (IDSs). To deal with this problem, several
intrusion response systems (IRSs) have been proposed
lately. IRSs extend the IDSs by providing an automatic
response to the detected attack. Such a response is
usually selected either with a static attack-response
mapping or by quantitatively evaluating all available
responses, given a set of predefined criteria. In this
article, we introduce a probabilistic model-based IRS
built on the Markov decision process (MDP) framework.
In contrast to most existing approaches to intrusion
response, the proposed IRS effectively captures the
dynamics of both the defended system and the attacker
and is able to compose atomic response actions to plan
optimal multiobjective long-term response policies to
protect the system. We evaluate the effectiveness of
the proposed IRS by showing that long-term response
planning always outperforms short-term planning, and we
conduct a thorough performance assessment to show that
the proposed IRS can be adopted to protect large
distributed systems at runtime.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wareham:2018:VAO,
author = "Todd Wareham and Andrew Vardy",
title = "Viable Algorithmic Options for Designing Reactive
Robot Swarms",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "5:1--5:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3157087",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "A central problem in swarm robotics is to design a
controller that will allow the member robots of the
swarm to collectively perform a given task. Of
particular interest in massively distributed
applications are reactive controllers with severely
limited computational and sensory abilities. In this
article, we give the results of the first computational
complexity analysis of the reactive swarm design
problem. Our core results are derived relative to a
generalization of what is arguably the simplest
possible type of reactive controller, the so-called
computation-free controller proposed by Gauci et al.,
which operates in grid-based environments in a
noncontinuous manner. We show that the design of a
generalized computation-free swarm for an arbitrary
given task in an arbitrary given environment is not
polynomial-time solvable either in general or by the
most desirable types of approximation algorithms
(including evolutionary algorithms with high
probabilities of producing correct solutions) but is
solvable in effectively polynomial time relative to
several types of restrictions on swarms, environments,
and tasks. All of our results hold for the design of
several more complex types of generalized
computation-free swarms. Moreover, all of our
intractability and inapproximability results hold for
the design of any type of reactive swarm (including
those based on the popular feed-forward neural network
and Brooks-style subsumption controllers) operating in
grid-based environments in a noncontinuous manner whose
member robots satisfy two simple conditions. As such,
our results give the first theoretical survey of the
types of efficient exact and approximate solution
algorithms that are and are not possible for designing
several types of reactive swarms.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Beal:2018:AOA,
author = "Jacob Beal and Kyle Usbeck and Joseph Loyall and Mason
Rowe and James Metzler",
title = "Adaptive Opportunistic Airborne Sensor Sharing",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "6:1--6:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3179994",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Airborne sensor platforms are becoming increasingly
significant for both civilian and military operations;
yet, at present, their sensors are typically idle for
much of their flight time, e.g., while the
sensor-equipped platform is in transit to and from the
locations of sensing tasks. The sensing needs of many
other potential information consumers might thus be
served by sharing such sensors, thereby allowing other
information consumers to opportunistically task them
during their otherwise unscheduled time, as well as
enabling other improvements, such as decreasing the
number of platforms needed to achieve a goal and
increasing the resilience of sensor tasks through
duplication. We have implemented a prototype system
realizing these goals in Mission-Driven Tasking of
Information Producers (MTIP), which leverages an
agent-based representation of tasks and sensors to
enable fast, effective, and adaptive opportunistic
sharing of airborne sensors. Using a simulated
large-scale disaster-response scenario populated with
publicly available Geographic Information System (GIS)
datasets, we demonstrate that correlations in task
location are likely to lead to a high degree of
potential for sensor-sharing. We then validate that our
implementation of MTIP can successfully carry out such
sharing, showing that it increases the number of sensor
tasks served, reduces the number of platforms required
to serve a given set of sensor tasks, and adapts well
to radical changes in flight path.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kuze:2018:SOC,
author = "Naomi Kuze and Daichi Kominami and Kenji Kashima and
Tomoaki Hashimoto and Masayuki Murata",
title = "Self-Organizing Control Mechanism Based on Collective
Decision-Making for Information Uncertainty",
journal = j-TAAS,
volume = "13",
number = "1",
pages = "7:1--7:??",
month = may,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3183340",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed May 23 05:40:59 MDT 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Because of the rapid growth in the scale and
complexity of information networks, self-organizing
systems are increasingly being used to realize novel
network control systems that are highly scalable,
adaptable, and robust. However, the uncertainty of
information (with regard to incompleteness, vagueness,
and dynamics) in self-organizing systems makes it
difficult for them to work appropriately in accordance
with the network state. In this study, we apply a model
of the collective decision-making of animal groups to
enable self-organizing control mechanisms to adapt to
information uncertainty. Specifically, we apply a
mathematical model of collective decision-making that
is known as the effective leadership model (ELM). In
the ELM, informed individuals (those who are
experienced or well-informed) take the role of leading
the others. In contrast, uninformed individuals (those
who perceive only local information) follow neighboring
individuals. As a result of the collective behavior of
informed/uninformed individuals, the animal group
achieves consensus. We consider a self-organizing
control mechanism using potential-based routing with an
optimal control, and propose a mechanism for
determining a data-packet forwarding scheme based on
the ELM. Through evaluation by simulation, we show
that, in a situation in which the perceived information
is incomplete and dynamic, nodes can forward data
packets in accordance with the network state by
applying the ELM.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Jiang:2018:UCS,
author = "Jiuchuan Jiang and Bo An and Yichuan Jiang and Donghui
Lin and Zhan Bu and Jie Cao and Zhifeng Hao",
title = "Understanding Crowdsourcing Systems from a Multiagent
Perspective and Approach",
journal = j-TAAS,
volume = "13",
number = "2",
pages = "8:1--8:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3226028",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Nov 29 14:34:30 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Crowdsourcing has recently been significantly
explored. Although related surveys have been conducted
regarding this subject, each has mainly consisted of a
review of a single aspect of crowdsourcing systems or
on the application of crowdsourcing in a specific
application domain. A crowdsourcing system is a
comprehensive set of multiple entities, including
various elements and processes. Multiagent computing
has already been widely envisioned as a powerful
paradigm for modeling autonomous multi-entity systems
with adaptation to dynamic environments. Therefore,
this article presents a novel multiagent perspective
and approach to understanding crowdsourcing systems,
which can be used to correlate the research on
crowdsourcing and multiagent systems and inspire
possible interdisciplinary research between the two
areas. This article mainly discusses the following two
aspects: (1) The multiagent perspective can be used for
conducting a comprehensive survey on the state of the
art of crowdsourcing, and (2) the multiagent approach
can bring about concrete enhancements for crowdsourcing
technology and inspire future research directions that
enable crowdsourcing research to overcome the typical
challenges in crowdsourcing technology. Finally, this
article discusses the advantages and disadvantages of
the multiagent perspective by comparing it with two
other popular perspectives on crowdsourcing: the
business perspective and the technical perspective.",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Liao:2018:APM,
author = "Jianwei Liao and Zhigang Cai and Fran{\c{c}}ois Trahay
and Jun Zhou and Guoqiang Xiao",
title = "Adaptive Process Migrations in Coupled Applications
for Exchanging Data in Local File Cache",
journal = j-TAAS,
volume = "13",
number = "2",
pages = "9:1--9:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3226027",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Nov 29 14:34:30 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Many problems in science and engineering are usually
emulated as a set of mutually interacting models,
resulting in a coupled or multiphysics application.
These component models show challenges originating from
their interdisciplinary nature and from their
computational and algorithmic complexities. In general,
these models are independently developed and
maintained, so that they commonly employ the global
file system for exchanging their data in the coupled
application. To effectively use the local file cache on
the compute node for exchanging the data among the
processes of such applications, and consequently
boosting I/O performance, this article presents a novel
mechanism to migrate a process from one compute node to
another node on the basis of block I/O dependency. In
this newly proposed mechanism, the block I/O dependency
between two involved processes running on the different
nodes is profiled as block access similarity by taking
advantage of the Cohen's kappa statistic. Then, the
process is supposed to be dynamically migrated from its
source node to the destination node, on which there is
another process having heavy block I/O dependency. As a
result, both processes can exchange their data by
utilizing the local file cache instead of the global
file system to reduce I/O time. The experimental
results demonstrate that the I/O performance can be
significantly improved, and the time required for
executing the application can be resultantly decreased,
as expected.",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Pournaras:2018:DCL,
author = "Evangelos Pournaras and Peter Pilgerstorfer and Thomas
Asikis",
title = "Decentralized Collective Learning for Self-managed
Sharing Economies",
journal = j-TAAS,
volume = "13",
number = "2",
pages = "10:1--10:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3277668",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Nov 29 14:34:30 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "The Internet of Things equips citizens with a
phenomenal new means for online participation in
sharing economies. When agents self-determine options
from which they choose, for instance, their resource
consumption and production, while these choices have a
collective systemwide impact, optimal decision-making
turns into a combinatorial optimization problem known
as NP-hard. In such challenging computational problems,
centrally managed (deep) learning systems often require
personal data with implications on privacy and
citizens' autonomy. This article envisions an
alternative unsupervised and decentralized collective
learning approach that preserves privacy, autonomy, and
participation of multi-agent systems self-organized
into a hierarchical tree structure. Remote interactions
orchestrate a highly efficient process for
decentralized collective learning. This disruptive
concept is realized by I-EPOS, the Iterative Economic
Planning and Optimized Selections, accompanied by a
paradigmatic software artifact. Strikingly, I-EPOS
outperforms related algorithms that involve non-local
brute-force operations or exchange full information.
This article contributes new experimental findings
about the influence of network topology and planning on
learning efficiency as well as findings on
techno-socio-economic tradeoffs and global optimality.
Experimental evaluation with real-world data from
energy and bike sharing pilots demonstrates the grand
potential of collective learning to design ethically
and socially responsible participatory sharing
economies.",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Mu:2018:SFE,
author = "Ting-Yu Mu and Ala Al-Fuqaha and Khaled Shuaib and
Farag M. Sallabi and Junaid Qadir",
title = "{SDN} Flow Entry Management Using Reinforcement
Learning",
journal = j-TAAS,
volume = "13",
number = "2",
pages = "11:1--11:??",
month = nov,
year = "2018",
CODEN = "????",
DOI = "https://doi.org/10.1145/3281032",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Nov 29 14:34:30 MST 2018",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Modern information technology services largely depend
on cloud infrastructures to provide their services.
These cloud infrastructures are built on top of
Datacenter Networks (DCNs) constructed with high-speed
links, fast switching gear, and redundancy to offer
better flexibility and resiliency. In this environment,
network traffic includes long-lived (elephant) and
short-lived (mice) flows with partitioned/aggregated
traffic patterns. Although SDN-based approaches can
efficiently allocate networking resources for such
flows, the overhead due to network reconfiguration can
be significant. With limited capacity of Ternary
Content-Addressable Memory (TCAM) deployed in an
OpenFlow enabled switch, it is crucial to determine
which forwarding rules should remain in the flow table
and which rules should be processed by the SDN
controller in case of a table-miss on the SDN switch.
This is needed in order to obtain the flow entries that
satisfy the goal of reducing the long-term control
plane overhead introduced between the controller and
the switches. To achieve this goal, we propose a
machine learning technique that utilizes two variations
of Reinforcement Learning (RL) algorithms-the first of
which is a traditional RL-based algorithm, while the
other is deep reinforcement learning-based. Emulation
results using the RL algorithm show around 60\%
improvement in reducing the long-term control plane
overhead and around 14\% improvement in the table-hit
ratio compared to the Multiple Bloom Filters (MBF)
method, given a fixed size flow table of 4KB.",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Brocanelli:2019:SMS,
author = "Marco Brocanelli and Xiaorui Wang",
title = "{SOD}: Making {Smartphone} Smart on Demand with Radio
Interface Management",
journal = j-TAAS,
volume = "13",
number = "3",
pages = "12:1--12:??",
month = mar,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3275521",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3275521",
abstract = "A major concern for today's smartphones is their much
faster battery drain than traditional feature phones,
despite their greater battery capacities. The
difference is mainly contributed by those more powerful
but also much more power-consuming smartphone
components, such as the multi-core application
processor and the high-definition (HD) display. While
the application processor must be active when any smart
apps are being used, it is also unnecessarily waken up,
even during idle periods, to perform operations related
to basic phone functions (i.e., incoming calls and text
messages). In addition, the power-hungry HD display is
also used unnecessarily for such basic functions. In
this article, we investigate how to increase the
battery life of smartphones by minimizing the use of
application processor and HD display for operations
related to basic functions. We find that the
application processor is often waken up by a process
running on it, called the Radio Interface Layer Daemon
(RILD), which interfaces the user and apps to the
GSM/LTE cellular network. In particular, we demonstrate
that a great amount of energy could be saved if RILD is
stopped, such that the application processor can sleep
more often. Based on this key finding, we design a
Smart On Demand (SOD) configuration that reduces the
smartphone energy consumption by running RILD
operations on a secondary low-power microcontroller and
by using a secondary low-power display to interface the
user with basic functions. As a result, basic phone
functions can be handled at much lower energy costs and
the power-consuming components, i.e., application
processor and HD display, are waken up only when one
needs to use any smart apps, in an on-demand manner. We
have built a hardware prototype of SOD and evaluated it
with real user traces. Our results show that SOD can
increase its battery life by up to 2.5 more days.",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Lee:2019:IDA,
author = "Gil Jae Lee and Jos{\'e} A. B. Fortes",
title = "Improving Data-Analytics Performance Via Autonomic
Control of Concurrency and Resource Units",
journal = j-TAAS,
volume = "13",
number = "3",
pages = "13:1--13:??",
month = mar,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3309539",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3309539",
abstract = "Many big-data processing jobs use data-analytics
frameworks such as Apache Hadoop (currently also known
as YARN). Such frameworks have tunable configuration
parameters set by experienced system administrators
and/or job developers. However, tuning parameters
manually can be hard and time-consuming because it
requires domain-specific knowledge and understanding of
complex inter-dependencies among parameters. Most of
the frameworks seek efficient resource management by
assigning resource units to jobs, the maximum number of
units allowed in a system being part of the static
configuration of the system. This static resource
management has limited effectiveness in coping with job
diversity and workload dynamics, even in the case of a
single job. The work reported in this article seeks to
improve performance (e.g., multiple-jobs makespan and
job completion time) without modification of either the
framework or the applications and avoiding problems of
previous self-tuning approaches based on performance
models or resource usage. These problems include (1)
the need for time-consuming training, typically offline
and (2) unsuitability for multi-jobs/tenant
environments. This article proposes a hierarchical
self-tuning approach using (1) a fuzzy-logic controller
to dynamically adjust the maximum number of concurrent
jobs and (2) additional controllers (one for each
cluster node) to adjust the maximum number of resource
units assigned to jobs on each node. The fuzzy-logic
controller uses fuzzy rules based on a concave-downward
relationship between aggregate CPU usage and the number
of concurrent jobs. The other controllers use a
heuristic algorithm to adjust the number of resource
units on the basis of both CPU and disk IO usage by
jobs. To manage the maximum number of available
resource units in each node, the controllers also take
resource usage by other processes (e.g., system
processes) into account. A prototype of our approach
was implemented for Apache Hadoop on a cluster running
at CloudLab. The proposed approach was demonstrated and
evaluated with workloads composed of jobs with similar
resource usage patterns as well as other realistic
mixed-pattern workloads synthesized by SWIM, a
statistical workload injector for MapReduce. The
evaluation shows that the proposed approach yields up
to a 48\% reduction of the jobs makespan that results
from using Hadoop-default settings.",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Garcia:2019:PPR,
author = "Javier Garc{\'\i}a and Fernando Fern{\'a}ndez",
title = "Probabilistic Policy Reuse for Safe Reinforcement
Learning",
journal = j-TAAS,
volume = "13",
number = "3",
pages = "14:1--14:??",
month = mar,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3310090",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3310090",
abstract = "This work introduces Policy Reuse for Safe
Reinforcement Learning, an algorithm that combines
Probabilistic Policy Reuse and teacher advice for safe
exploration in dangerous and continuous state and
action reinforcement learning problems in which the
dynamic behavior is reasonably smooth and the space is
Euclidean. The algorithm uses a continuously increasing
monotonic risk function that allows for the
identification of the probability to end up in failure
from a given state. Such a risk function is defined in
terms of how far such a state is from the state space
known by the learning agent. Probabilistic Policy Reuse
is used to safely balance the exploitation of actual
learned knowledge, the exploration of new actions, and
the request of teacher advice in parts of the state
space considered dangerous. Specifically, the \pi
-reuse exploration strategy is used. Using experiments
in the helicopter hover task and a business management
problem, we show that the \pi -reuse exploration
strategy can be used to completely avoid the visit to
undesirable situations while maintaining the
performance (in terms of the classical long-term
accumulated reward) of the final policy achieved.",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Demare:2019:ABM,
author = "Thibaut D{\'e}mare and Cyrille Bertelle and Antoine
Dutot and Dominique Fournier",
title = "Adaptive Behavior Modeling in Logistic Systems with
Agents and Dynamic Graphs",
journal = j-TAAS,
volume = "13",
number = "3",
pages = "15:1--15:??",
month = mar,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3313799",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3313799",
abstract = "Inside a logistic system, actors of the logistics have
to interact to manage a coherent flow of goods. They
also must deal with the constraints of their
environment. The article's first goal is to study how
macro properties (such as global performance) emerge
from the dynamic and local behaviors of actors and the
structure of the territory. The second goal is to
understand which local parameters affect these macro
properties. A multi-scale approach made of an
agent-based model coupled with dynamic graphs describes
the system's components, including actors and the
transportation network. Adaptive behaviors are
implemented in this model (with data about the Seine
axis) to highlight the system's dynamics. Agent
strategies are evolving according to traffic dynamics
and disruptions. This logistic system simulator has the
capacity to exhibit large-scale evolution of
territorial behavior and efficiency face to various
scenarios of local agent behaviors.",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Li:2019:TTE,
author = "Wenjuan Li and Jian Cao and Shiyou Qian and Rajkumar
Buyya",
title = "{TSLAM}: a Trust-enabled Self-Learning Agent Model for
Service Matching in the Cloud Market",
journal = j-TAAS,
volume = "13",
number = "4",
pages = "16:1--16:??",
month = jul,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3317604",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3317604",
abstract = "With the rapid development of cloud computing, various
types of cloud services are available in the
marketplace. However, it remains a significant
challenge for cloud users to find suitable services for
two major reasons: (1) Providers are unable to offer
services in complete accordance with their declared
Service Level Agreements, and (2) it is difficult for
customers to describe their requirements accurately. To
help users select cloud services efficiently, this
article presents a Trust enabled Self-Learning Agent
Model for service Matching (TSLAM). TSLAM is a
multi-agent-based three-layered cloud service market
model, in which different categories of agents
represent the corresponding cloud entities to perform
market behaviors. The unique feature of brokers is that
they are not only the service recommenders but also the
participants of market competition. We equip brokers
with a learning module enabling them to capture
implicit service demands and find user preferences.
Moreover, a distributed and lightweight trust model is
designed to help cloud entities make service decisions.
Extensive experiments prove that TSLAM is able to
optimize the cloud service matching process and
compared to the state-of-the-art studies, TSLAM
improves user satisfaction and the transaction success
rate by at least 10\%.",
acknowledgement = ack-nhfb,
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Shevtsov:2019:SCT,
author = "Stepan Shevtsov and Danny Weyns and Martina Maggio",
title = "{SimCA*}: a Control-theoretic Approach to Handle
Uncertainty in Self-adaptive Systems with Guarantees",
journal = j-TAAS,
volume = "13",
number = "4",
pages = "17:1--17:??",
month = jul,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3328730",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3328730",
abstract = "Self-adaptation provides a principled way to deal with
software systems' uncertainty during operation.
Examples of such uncertainties are disturbances in the
environment, variations in sensor readings, and changes
in user requirements. As more systems with strict goals
require self-adaptation, the need for formal guarantees
in self-adaptive systems is becoming a high-priority
concern. Designing self-adaptive software using
principles from control theory has been identified as
one of the approaches to provide guarantees. In
general, self-adaptation covers a wide range of
approaches to maintain system requirements under
uncertainty, ranging from dynamic adaptation of system
parameters to runtime architectural reconfiguration.
Existing control-theoretic approaches have mainly
focused on handling requirements in the form of
setpoint values or as quantities to be optimized.
Furthermore, existing research primarily focuses on
handling uncertainty in the execution environment. This
article presents SimCA*, which provides two
contributions to the state-of-the-art in
control-theoretic adaptation: (i) it supports
requirements that keep a value above and below a
required threshold, in addition to setpoint and
optimization requirements; and (ii) it deals with
uncertainty in system parameters, component
interactions, system requirements, in addition to
uncertainty in the environment. SimCA* provides
guarantees for the three types of requirements of the
system that is subject to different types of
uncertainties. We evaluate SimCA* for two systems with
strict requirements from different domains: an Unmanned
Underwater Vehicle system used for oceanic surveillance
and an Internet of Things application for monitoring a
geographical area. The test results confirm that SimCA*
can satisfy the three types of requirements in the
presence of different types of uncertainty.",
acknowledgement = ack-nhfb,
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Alshebli:2019:MAV,
author = "Bedoor K. Alshebli and Tomasz P. Michalak and Oskar
Skibski and Michael Wooldridge and Talal Rahwan",
title = "A Measure of Added Value in Groups",
journal = j-TAAS,
volume = "13",
number = "4",
pages = "18:1--18:??",
month = jul,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3335547",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3335547",
abstract = "The intuitive notion of added value in groups
represents a fundamental property of biological,
physical, and economic systems: how the interaction or
cooperation of multiple entities, substances, or other
agents can produce synergistic effects. However,
despite the ubiquity of group formation, a well-founded
measure of added value has remained elusive. Here, we
propose such a measure inspired by the Shapley value -a
fundamental solution concept from Cooperative Game
Theory. To this end, we start by developing a solution
concept that measures the average impact of each player
in a coalitional game and show how this measure
uniquely satisfies a set of intuitive properties. Then,
building upon our solution concept, we propose a
measure of added value that not only analyzes the
interactions of players inside their group, but also
outside it, thereby reflecting otherwise-hidden
information about how these individuals typically
perform in various groups of the population.",
acknowledgement = ack-nhfb,
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Su:2019:IAA,
author = "Xing Su and Minjie Zhang and Quan Bai",
title = "An Innovative Approach for Ad Hoc Network
Establishment in Disaster Environments by the
Deployment of Wireless Mobile Agents",
journal = j-TAAS,
volume = "13",
number = "4",
pages = "19:1--19:??",
month = jul,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3337795",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:48 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3337795",
abstract = "In disasters, many stationary tasks, such as saving
survivors in debris, extinguishing fire of buildings,
and so on, need first responders to complete on site.
In such circumstances, wireless mobile robots are
usually employed to search for tasks and establish ad
hoc networks to assist first responders. Due to the
unknown and complexity of environments and limited
capabilities of wireless mobile robots, searching and
establishing ad hoc networks in disaster environments
is a challenging issue in both theory and practice. To
this end, a task-based wireless mobile robot deployment
approach is proposed in this article. The proposed
approach consists of a search process and a deployment
process. The search process can guide wireless mobile
robots to efficiently find tasks in unknown and complex
environments. The deployment process can find suitable
deployment locations for wireless mobile robots to
establish ad hoc networks. The established ad hoc
networks can ensure the communication of wireless
mobile robots in the network and can cover the maximum
number of task locations and the maximum areas in a
disaster environment. Experimental results demonstrate
that based on the proposed approach, wireless mobile
robots have better performance in terms of search and
ad hoc network establishment in disaster
environments.",
acknowledgement = ack-nhfb,
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Kurka:2019:KMS,
author = "David Burth Kurka and Jeremy Pitt and Josiah Ober",
title = "Knowledge Management for Self-Organised Resource
Allocation",
journal = j-TAAS,
volume = "14",
number = "1",
pages = "1:1--1:??",
month = sep,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3337796",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Many instances of socio-technical systems in the
digital society and digital economy require some form
of self-governance. Examples include community energy
systems, peer production systems, participatory sensing
applications, and shared management of communal living
areas or workspace. Such systems have several features
in common, of which three are that they are
rule-oriented, self-organising, and value-sensitive,
and in operation, this combination of features entails
self-modification of the rules in order to satisfy a
changeable set of values. This presents a fundamental
dilemma for systems design. On the one hand, the system
must be sufficiently unrestricted (resilient, flexible)
to enable a diverse group but with a shared set of
congruent values to achieve their joint purposes in
collective action situations. On the other hand, it
must be sufficiently restricted (stable, robust) to
prevent a subset of the group from exploiting
self-determination `against itself' and usurp control
of the system for the benefit of its own narrow
interests. To address this problem, we consider a study
of classical Athenian democracy which investigates how
the governance model of the city-state flourished. The
work suggests that exceptional knowledge management,
i.e., making information available for socially
productive purposes, played a crucial role in
sustaining its democracy for nearly 200 years, by
creating processes for aggregation, alignment, and
codification of knowledge. We therefore examine the
proposition that some properties can be generalised to
resolve the rule-restriction dilemma by establishing a
set of design principles intended to make knowledge
management processes open, inclusive, transparent, and
effective in self-governed social technical systems. We
operationalise three of these principles in the context
of a collective action situation, namely self-organised
common-pool resource allocation, and present the
results of a series of experiments showing how
knowledge management processes can be used to obtain
robust solutions for the perception of fairness,
allocation decision, and punishment mechanisms. By
applying this operationalisation of the design
principles for knowledge management processes as a
complement to institutional approaches to governance,
we demonstrate empirically how it can satisfy shared
values, distribute power fairly, and apply ``common
sense'' in dealing with rule violations. We conclude by
arguing that this approach to the design of
socio-technical systems can provide a balance between
restricted and unrestricted self-modification of
conventional rules, and can thus provide the
foundations for sustainable and democratic
self-governance in socio-technical systems.",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Wareham:2019:DRT,
author = "Todd Wareham",
title = "Designing Robot Teams for Distributed Construction,
Repair, and Maintenance",
journal = j-TAAS,
volume = "14",
number = "1",
pages = "2:1--2:??",
month = sep,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3337797",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Designing teams of autonomous robots that can create
target structures or repair damage to those structures
on either a one-off or ongoing basis is an important
problem in distributed robotics. However, it is not
known if a team design algorithm for any of these tasks
can both have low runtime and produce teams that will
always perform their specified tasks quickly and
correctly. In this article, we give the first
computational and parameterized complexity analyses of
several robot team design problems associated with
creating, repairing, and maintaining target structures
in given environments. Our goals are to establish
whether efficient design algorithms exist that operate
reliably on all possible inputs and, if not, under
which restrictions such algorithms are and are not
possible. We prove that all of our design problems are
not efficiently solvable in general for heterogeneous
robot teams and remain so under a number of plausible
restrictions on robot controllers, environments, and
target structures. We also give the first restrictions
relative to which some of these problems may be
efficiently solvable and discuss how theoretical
results like those derived here can be combined with
physical experiments to derive the best possible
algorithms for real-world robot team design.",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Cailliau:2019:RMR,
author = "Antoine Cailliau and Axel {Van Lamsweerde}",
title = "Runtime Monitoring and Resolution of Probabilistic
Obstacles to System Goals",
journal = j-TAAS,
volume = "14",
number = "1",
pages = "3:1--3:??",
month = sep,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3337800",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3337800",
abstract = "Software systems are deployed in environments that
keep changing over time. They should therefore adapt to
changing conditions to meet their requirements. The
satisfaction rate of these requirements depends on the
rate at which adverse conditions prevent their
satisfaction. Obstacle analysis is a goal-oriented form
of risk analysis for requirements engineering (RE),
whereby obstacles to system goals are identified,
assessed, and resolved through countermeasures. The
selection of effective countermeasures relies on
environment assumptions and on the assessed likelihood
and criticality of the corresponding obstacles. Those
various factors estimated at RE time may, however,
evolve at system runtime. To meet the system's goals
under changing conditions, this article proposes to
defer obstacle resolution to system runtime. Techniques
are presented for monitoring obstacle satisfaction
rates; deciding when adaptation should be triggered;
and adapting the system on-the-fly to countermeasures
that are more effective. The approach relies on a model
where goals and obstacles are refined and specified in
a probabilistic linear temporal logic. The techniques
allow for monitoring the satisfaction rate of
probabilistic leaf obstacles; determining the severity
of obstacle consequences on goal satisfaction rates
computed from the monitored obstacle satisfaction
rates; and shifting to countermeasures that better meet
the required goal satisfaction rates. Our approach is
evaluated on fragments of an ambulance dispatching
system.",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Rudolph:2019:MIA,
author = "Stefan Rudolph and Sven Tomforde and J{\"o}rg
H{\"a}hner",
title = "Mutual Influence-aware Runtime Learning of
Self-adaptation Behavior",
journal = j-TAAS,
volume = "14",
number = "1",
pages = "4:1--4:??",
month = sep,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3345319",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/ft_gateway.cfm?id=3345319",
abstract = "Self-adaptation has been proposed as a mechanism to
counter complexity in control problems of technical
systems. A major driver behind self-adaptation is the
idea to transfer traditional design-time decisions to
runtime and into the responsibility of systems
themselves. To deal with unforeseen events and
conditions, systems need creativity-typically realized
by means of machine learning capabilities. Such
learning mechanisms are based on different sources of
knowledge. Feedback from the environment used for
reinforcement purposes is probably the most prominent
one within the self-adapting and self-organizing (SASO)
systems community. However, the impact of other
(sub-)systems on the success of the individual system's
learning performance has mostly been neglected in this
context. In this article, we propose a novel
methodology to identify effects of actions performed by
other systems in a shared environment on the utility
achievement of an autonomous system. Consider smart
cameras (SC) as illustrating example: For goals such as
3D reconstruction of objects, the most promising
configuration of one SC in terms of pan/tilt/zoom
parameters depends largely on the configuration of
other SCs in the vicinity. Since such mutual influences
cannot be pre-defined for dynamic systems, they have to
be learned at runtime. Furthermore, they have to be
taken into consideration when self-improving their own
configuration decisions based on a feedback loop
concept, e.g., known from the SASO domain or the
Autonomic and Organic Computing initiatives. We define
a methodology to detect such influences at runtime,
present an approach to consider this information in a
reinforcement learning technique, and analyze the
behavior in artificial as well as real-world SASO
system settings.",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Elhabbash:2019:SAS,
author = "Abdessalam Elhabbash and Maria Salama and Rami Bahsoon
and Peter Tino",
title = "Self-awareness in Software Engineering: a Systematic
Literature Review",
journal = j-TAAS,
volume = "14",
number = "2",
pages = "5:1--5:??",
month = oct,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3347269",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Background: Self-awareness has been recently receiving
attention in computing systems for enriching autonomous
software systems operating in dynamic environments.
Objective: We aim to investigate the adoption of
computational self-awareness concepts in autonomic
software systems and motivate future research
directions on self-awareness and related problems.
Method: We conducted a systemic literature review to
compile the studies related to the adoption of
self-awareness in software engineering and explore how
self-awareness is engineered and incorporated in
software systems. From 865 studies, 74 studies have
been selected as primary studies. We have analysed the
studies from multiple perspectives, such as motivation,
inspiration, and engineering approaches, among others.
Results: Results have shown that self-awareness has
been used to enable self-adaptation in systems that
exhibit uncertain and dynamic behaviour. Though there
have been recent attempts to define and engineer
self-awareness in software engineering, there is no
consensus on the definition of self-awareness. Also,
the distinction between self-aware and self-adaptive
systems has not been systematically treated.
Conclusions: Our survey reveals that self-awareness for
software systems is still a formative field and that
there is growing attention to incorporate
self-awareness for better reasoning about the
adaptation decision in autonomic systems. Many pending
issues and open problems outline possible research
directions.",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Bucchiarone:2019:CAT,
author = "Antonio Bucchiarone",
title = "Collective Adaptation through Multi-Agents Ensembles:
The Case of Smart Urban Mobility",
journal = j-TAAS,
volume = "14",
number = "2",
pages = "6:1--6:??",
month = oct,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3355562",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Modern software systems are becoming more and more
socio-technical systems composed of distributed and
heterogeneous agents from a mixture of people, their
environment, and software components. These systems
operate under continuous perturbations due to the
unpredicted behaviors of people and the occurrence of
exogenous changes in the environment. In this article,
we introduce a notion of ensembles for which, systems
with collective adaptability can be built as an
emergent aggregation of autonomous and self-adaptive
agents. Building upon this notion of ensemble, we
present a distributed adaptation approach for systems
composed by ensembles: collections of agents with their
respective roles and goals. In these systems,
adaptation is triggered by the run-time occurrence of
an extraordinary circumstance, called issue. It is
handled by an issue resolution process that involves
agents affected by the issue to collaboratively adapt
with minimal impact on their own preferences. Central
to our approach is the implementation of a collective
adaptation engine (CAE) able to solve issues in a
collective fashion. The approach is instantiated in the
context of a smart mobility scenario through which its
main features are illustrated. To demonstrate the
approach in action and evaluate it, we exploit the
DeMOCAS framework, simulating the operation of an urban
mobility scenario. We have executed a set of
experiments with the goal to show how the CAE performs
in terms of feasibility and scalability. With this
approach, we are able to demonstrate how collective
adaptation opens up new possibilities for tackling
urban mobility challenges making it more sustainable
respect to selfish and competitive behaviours.",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Sabatucci:2019:SDW,
author = "Luca Sabatucci and Massimo Cossentino",
title = "Supporting Dynamic Workflows with Automatic Extraction
of Goals from {BPMN}",
journal = j-TAAS,
volume = "14",
number = "2",
pages = "7:1--7:??",
month = oct,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3355488",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 22 12:17:49 MDT 2019",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
abstract = "Organizations willing to employ workflow technology
have to be prepared to undertake a significant
investment of time and effort due to the exceptionally
dynamic nature of the business environment. Today, it
is unlikely that processes are modeled once to be
repeatedly executed without any changes. Goal-oriented
dynamic workflows are a promising approach to provide
flexibility to the execution of business processes.
Many goal-oriented frameworks exist in the literature
to be used for the purpose. However, modeling goals is
a burden for the business analyst. This work proposes
an automatic approach for extracting goals from a
business process for supporting adaptive workflows. The
approach consists of a static analysis of the global
workflow state. Goals derive from individual BPMN
elements and their interactions. For validating the
theory, we developed the BPMN2Goals tool, which has
been used for supporting a middleware for
self-adaptation.",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "http://portal.acm.org/browse_dl.cfm?idx=J1010",
}
@Article{Riganelli:2019:CIL,
author = "Oliviero Riganelli and Daniela Micucci and Leonardo
Mariani",
title = "Controlling Interactions with Libraries in {Android}
Apps Through Runtime Enforcement",
journal = j-TAAS,
volume = "14",
number = "2",
pages = "8:1--8:29",
month = dec,
year = "2019",
CODEN = "????",
DOI = "https://doi.org/10.1145/3368087",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 5 12:09:06 MST 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3368087",
abstract = "Android applications are executed on smartphones
equipped with a variety of resources that must be
properly accessed and controlled, otherwise the
correctness of the executions and the stability of the
entire environment might be negatively affected.
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Shams:2020:ABR,
author = "Zohreh Shams and Marina {De Vos} and Nir Oren and
Julian Padget",
title = "Argumentation-Based Reasoning about Plans, Maintenance
Goals, and Norms",
journal = j-TAAS,
volume = "14",
number = "3",
pages = "9:1--9:39",
month = mar,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3364220",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 5 12:09:07 MST 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3364220",
abstract = "In a normative environment, an agent's actions are
directed not only by its goals but also by the norms
activated by its actions and those of other actors. The
potential for conflict between agent goals and norms
makes decision making challenging, in \ldots{}",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Mordacchini:2020:HCD,
author = "Matteo Mordacchini and Marco Conti and Andrea
Passarella and Raffaele Bruno",
title = "Human-centric Data Dissemination in the {IoP}:
Large-scale Modeling and Evaluation",
journal = j-TAAS,
volume = "14",
number = "3",
pages = "10:1--10:25",
month = mar,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3366372",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 5 12:09:07 MST 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3366372",
abstract = "Data management using Device-to-Device (D2D)
communications and opportunistic networks (ONs) is one
of the main focuses of human-centric pervasive Internet
services. In the recently proposed ``Internet of
People'' paradigm, accessing relevant data \ldots{}",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Chiariotti:2020:BSO,
author = "Federico Chiariotti and Chiara Pielli and Andrea
Zanella and Michele Zorzi",
title = "A Bike-sharing Optimization Framework Combining
Dynamic Rebalancing and User Incentives",
journal = j-TAAS,
volume = "14",
number = "3",
pages = "11:1--11:30",
month = mar,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3376923",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 5 12:09:07 MST 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3376923",
abstract = "Bike-sharing systems have become an established
reality in cities all across the world and are a key
component of the Smart City paradigm. However, the
unbalanced traffic patterns during rush hours can
completely empty some stations, while filling
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Ghahremani:2020:ISR,
author = "Sona Ghahremani and Holger Giese and Thomas Vogel",
title = "Improving Scalability and Reward of Utility-Driven
Self-Healing for Large Dynamic Architectures",
journal = j-TAAS,
volume = "14",
number = "3",
pages = "12:1--12:41",
month = mar,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3380965",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Thu Mar 5 12:09:07 MST 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/abs/10.1145/3380965",
abstract = "Self-adaptation can be realized in various ways.
Rule-based approaches prescribe the adaptation to be
executed if the system or environment satisfies certain
conditions. They result in scalable solutions but often
with merely satisfying adaptation \ldots{}",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Zhang:2020:UVP,
author = "Ruiwen Zhang and Tom Holvoet and Bifeng Song and Yang
Pei",
title = "{UAVs} vs. {Pirates}: an Anticipatory Swarm Monitoring
Method Using an Adaptive Pheromone Map",
journal = j-TAAS,
volume = "14",
number = "4",
pages = "13:1--13:31",
month = sep,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3380782",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Sep 26 07:05:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3380782",
abstract = "For the rising hazard of pirate attacks, unmanned
aerial vehicle (UAV) swarm monitoring is a promising
countermeasure. Previous monitoring methods have
deficiencies in either adaptivity to dynamic events or
simple but effective path coordination \ldots{}",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Raza:2020:HFA,
author = "Syed Ali Raza and Mary-Anne Williams",
title = "Human Feedback as Action Assignment in Interactive
Reinforcement Learning",
journal = j-TAAS,
volume = "14",
number = "4",
pages = "14:1--14:24",
month = sep,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3404197",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Sep 26 07:05:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3404197",
abstract = "Teaching by demonstrations and teaching by assigning
rewards are two popular methods of knowledge transfer
in humans. However, showing the right behaviour (by
demonstration) may appear more natural to a human
teacher than assessing the learner's \ldots{}",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Su:2020:FLS,
author = "Zhaopin Su and Guofu Zhang and Feng Yue and Jindong He
and Miqing Li and Bin Li and Xin Yao",
title = "Finding the Largest Successful Coalition under the
Strict Goal Preferences of Agents",
journal = j-TAAS,
volume = "14",
number = "4",
pages = "15:1--15:33",
month = sep,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3412370",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Sep 26 07:05:50 MDT 2020",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3412370",
abstract = "Coalition formation has been a fundamental form of
resource cooperation for achieving joint goals in
multiagent systems. Most existing studies still focus
on the traditional assumption that an agent has to
contribute its resources to all the goals, even
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Cumin:2021:PAA,
author = "Julien Cumin and Gr{\'e}goire Lefebvre and Fano
Ramparany and James L. Crowley",
title = "{PSINES}: Activity and Availability Prediction for
Adaptive Ambient Intelligence",
journal = j-TAAS,
volume = "15",
number = "1",
pages = "1:1--1:12",
month = feb,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3424344",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Feb 10 10:11:41 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3424344",
abstract = "Autonomy and adaptability are essential components of
ambient intelligence. For example, in smart homes,
proactive acting and occupants advising, adapted to
current and future contexts of living, are essential to
go beyond limitations of previous \ldots{}",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Misra:2021:SSR,
author = "Sudip Misra and Tamoghna Ojha and Madhusoodhanan P.",
title = "{SecRET}: Secure Range-based Localization with
Evidence Theory for Underwater Sensor Networks",
journal = j-TAAS,
volume = "15",
number = "1",
pages = "2:1--2:26",
month = feb,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3431390",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Feb 10 10:11:41 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3431390",
abstract = "Node localization is a fundamental requirement in
underwater sensor networks (UWSNs) due to the ineptness
of GPS and other terrestrial localization techniques in
the underwater environment. In any UWSN monitoring
application, the sensed information \ldots{}",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Kinneer:2021:IRS,
author = "Cody Kinneer and David Garlan and Claire {Le Goues}",
title = "Information Reuse and Stochastic Search: Managing
Uncertainty in Self-* Systems",
journal = j-TAAS,
volume = "15",
number = "1",
pages = "3:1--3:36",
month = feb,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3440119",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Feb 10 10:11:41 MST 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3440119",
abstract = "Many software systems operate in environments of
change and uncertainty. Techniques for self-adaptation
allow these systems to automatically respond to
environmental changes, yet they do not handle changes
to the adaptive system itself, such as the \ldots{}",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Zhu:2021:VSF,
author = "Changxi Zhu and Ho-Fung Leung and Shuyue Hu and Yi
Cai",
title = "A {$Q$}-values Sharing Framework for Multi-agent
Reinforcement Learning under Budget Constraint",
journal = j-TAAS,
volume = "15",
number = "2",
pages = "4:1--4:28",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3447268",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jun 21 09:18:08 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3447268",
abstract = "In a teacher-student framework, a more experienced
agent (teacher) helps accelerate the learning of
another agent (student) by suggesting actions to take
in certain states. In cooperative multi-agent
reinforcement learning (MARL), where agents must
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Langford:2021:EDD,
author = "Michael Austin Langford and Betty H. C. Cheng",
title = "{Enki}: a Diversity-driven Approach to Test and Train
Robust Learning-enabled Systems",
journal = j-TAAS,
volume = "15",
number = "2",
pages = "5:1--5:32",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3460959",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jun 21 09:18:08 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3460959",
abstract = "Data-driven Learning-enabled Systems are limited by
the quality of available training data, particularly
when trained offline. For systems that must operate in
real-world environments, the space of possible
conditions that can occur is vast and \ldots{}",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Grohmann:2021:SFC,
author = "Johannes Grohmann and Simon Eismann and Andr{\'e}
Bauer and Simon Spinner and Johannes Blum and Nikolas
Herbst and Samuel Kounev",
title = "{SARDE}: a Framework for Continuous and Self-Adaptive
Resource Demand Estimation",
journal = j-TAAS,
volume = "15",
number = "2",
pages = "6:1--6:31",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3463369",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jun 21 09:18:08 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3463369",
abstract = "Resource demands are crucial parameters for modeling
and predicting the performance of software systems.
Currently, resource demand estimators are usually
executed once for system analysis. However, the
monitored system, as well as the resource demand
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Barambones:2021:RTF,
author = "Jose Barambones and Florian Richoux and Ricardo Imbert
and Katsumi Inoue",
title = "Resilient Team Formation with Stabilisability of Agent
Networks for Task Allocation",
journal = j-TAAS,
volume = "15",
number = "3",
pages = "7:1--7:24",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3463368",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Oct 2 08:10:24 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3463368",
abstract = "Team formation (TF) faces the problem of defining
teams of agents able to accomplish a set of tasks.
Resilience on TF problems aims to provide robustness
and adaptability to unforeseen events involving agent
deletion. However, agents are unaware of the \ldots{}",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Sabuhi:2021:OPC,
author = "Mikael Sabuhi and Nima Mahmoudi and Hamzeh Khazaei",
title = "Optimizing the Performance of Containerized Cloud
Software Systems Using Adaptive {PID} Controllers",
journal = j-TAAS,
volume = "15",
number = "3",
pages = "8:1--8:27",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3465630",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Oct 2 08:10:24 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3465630",
abstract = "Control theory has proven to be a practical approach
for the design and implementation of controllers, which
does not inherit the problems of non-control theoretic
controllers due to its strong mathematical background.
State-of-the-art auto-scaling \ldots{}",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Gheibi:2021:AML,
author = "Omid Gheibi and Danny Weyns and Federico Quin",
title = "Applying Machine Learning in Self-adaptive Systems: a
Systematic Literature Review",
journal = j-TAAS,
volume = "15",
number = "3",
pages = "9:1--9:37",
month = sep,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3469440",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Sat Oct 2 08:10:24 MDT 2021",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3469440",
abstract = "Recently, we have been witnessing a rapid increase in
the use of machine learning techniques in self-adaptive
systems. Machine learning has been used for a variety
of reasons, ranging from learning a model of the
environment of a system during operation \ldots{}",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Tomforde:2020:ISI,
author = "Sven Tomforde and Timothy Wood and Jan-Philipp
Stegh{\"o}fer",
title = "Introduction to the Special Issue with {Selected
Papers of The International Conference on Autonomic
Computing and Self-Organizing Systems (ACSOS) 2020}",
journal = j-TAAS,
volume = "15",
number = "4",
pages = "10e:1--10e:2",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3492340",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Mar 2 09:44:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3492340",
acknowledgement = ack-nhfb,
articleno = "10e",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Hezavehi:2020:USA,
author = "Sara M. Hezavehi and Danny Weyns and Paris Avgeriou
and Radu Calinescu and Raffaela Mirandola and Diego
Perez-Palacin",
title = "Uncertainty in Self-adaptive Systems: a Research
Community Perspective",
journal = j-TAAS,
volume = "15",
number = "4",
pages = "10:1--10:36",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3487921",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Mar 2 09:44:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3487921",
abstract = "One of the primary drivers for self-adaptation is
ensuring that systems achieve their goals regardless of
the uncertainties they face during operation.
Nevertheless, the concept of uncertainty in
self-adaptive systems is still insufficiently
understood. \ldots{}",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Barnes:2020:BPC,
author = "Chloe M. Barnes and Anik{\'o} Ek{\'a}rt and Kai Olav
Ellefsen and Kyrre Glette and Peter R. Lewis and Jim
T{\o}rresen",
title = "Behavioural Plasticity Can Help Evolving Agents in
Dynamic Environments but at the Cost of Volatility",
journal = j-TAAS,
volume = "15",
number = "4",
pages = "11:1--11:26",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3487918",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Mar 2 09:44:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3487918",
abstract = "Neural networks have been widely used in agent
learning architectures; however, learnings for one task
might nullify learnings for another. Behavioural
plasticity enables humans and animals alike to respond
to environmental changes without degrading \ldots{}",
acknowledgement = ack-nhfb,
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Pfannemuller:2020:RIM,
author = "Martin Pfannem{\"u}ller and Martin Breitbach and
Markus Weckesser and Christian Becker and Bradley
Schmerl and Andy Sch{\"u}rr and Christian Krupitzer",
title = "\pkg{REACT-ION}: a Model-based Runtime Environment for
Situation-aware Adaptations",
journal = j-TAAS,
volume = "15",
number = "4",
pages = "12:1--12:29",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3487919",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Mar 2 09:44:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3487919",
abstract = "Trends such as the Internet of Things lead to a
growing number of networked devices and to a variety of
communication systems. Adding self-adaptive
capabilities to these communication systems is one
approach to reducing administrative effort and coping
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Skandylas:2020:DTA,
author = "Charilaos Skandylas and Narges Khakpour and Jesper
Andersson",
title = "\pkg{AT-DIFC} +: Toward Adaptive and Trust-Aware
Decentralized Information Flow Control",
journal = j-TAAS,
volume = "15",
number = "4",
pages = "13:1--13:35",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3487292",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Mar 2 09:44:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3487292",
abstract = "Modern software systems and their corresponding
architectures are increasingly decentralized,
distributed, and dynamic. As a consequence,
decentralized mechanisms are required to ensure
security in such architectures. Decentralized
Information Flow \ldots{}",
acknowledgement = ack-nhfb,
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Burger:2020:RED,
author = "Alwyn Burger and Gregor Schiele and David W. King",
title = "Reconfigurable Embedded Devices Using Reinforcement
Learning to Develop Action Policies",
journal = j-TAAS,
volume = "15",
number = "4",
pages = "14:1--14:25",
month = dec,
year = "2020",
CODEN = "????",
DOI = "https://doi.org/10.1145/3487920",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Mar 2 09:44:16 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3487920",
abstract = "The size of sensor networks supporting smart cities is
ever increasing. Sensor network resiliency becomes
vital for critical networks such as emergency response
and waste water treatment. One approach is to engineer
``self-aware'' sensors that can \ldots{}",
acknowledgement = ack-nhfb,
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Maliah:2021:CCP,
author = "Shlomi Maliah and Radimir Komarnitski and Guy Shani",
title = "Computing Contingent Plan Graphs using Online
Planning",
journal = j-TAAS,
volume = "16",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3488903",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:08 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3488903",
abstract = "In contingent planning under partial observability
with sensing actions, agents actively use sensing to
discover meaningful facts about the world. Recent
successful approaches translate the partially
observable contingent problem into a non-deterministic
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Hu:2021:GTB,
author = "Shuyue Hu and Chin-Wing Leung and Ho-Fung Leung and
Jiamou Liu",
title = "Gist Trace-based Learning: Efficient Convention
Emergence from Multilateral Interactions",
journal = j-TAAS,
volume = "16",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3502199",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:08 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3502199",
abstract = "The concept of conventions has attracted much
attention in the multi-agent system research. In this
article, we study the emergence of conventions from
repeated n -player coordination games. Distributed
agents learn their policies independently and are
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Arif:2021:FFD,
author = "Muhammad Usman Arif and Sajjad Haider",
title = "A Flexible Framework for Diverse Multi-Robot Task
Allocation Scenarios Including Multi-Tasking",
journal = j-TAAS,
volume = "16",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3502200",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:08 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3502200",
abstract = "In a multi-robot operation, multi-tasking resources
are expected to simultaneously perform multiple tasks,
thus, reducing the overall time/energy requirement of
the operation. This paper presents a task allocation
framework named Rostam that efficiently \ldots{}",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Hassan:2021:DEM,
author = "Sara Hassan and Rami Bahsoon and Leandro Minku and
Nour Ali",
title = "Dynamic Evaluation of Microservice Granularity
Adaptation",
journal = j-TAAS,
volume = "16",
number = "2",
pages = "4:1--4:??",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3502724",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:08 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3502724",
abstract = "Microservices have gained acceptance in software
industries as an emerging architectural style for
autonomic, scalable, and more reliable computing. Among
the critical microservice architecture design decisions
is when to adapt the granularity of a \ldots{}",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Esterle:2021:LCH,
author = "Lukas Esterle and David W. King",
title = "Loosening Control --- a Hybrid Approach to Controlling
Heterogeneous Swarms",
journal = j-TAAS,
volume = "16",
number = "2",
pages = "5:1--5:??",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3502725",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:08 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3502725",
abstract = "Large pervasive systems, deployed in dynamic
environments, require flexible control mechanisms to
meet the demands of chaotic state changes while
accomplishing system goals. As centralized control
approaches may falter in environments where centralized
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Davani:2021:ASE,
author = "Sina G. Davani and Musab S. Al-Hadrusi and Nabil J.
Sarhan",
title = "An Autonomous System for Efficient Control of {PTZ}
Cameras",
journal = j-TAAS,
volume = "16",
number = "2",
pages = "6:1--6:??",
month = jun,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3507658",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:08 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3507658",
abstract = "This article addresses the research problem of how to
autonomously control Pan/Tilt/Zoom (PTZ) cameras in a
manner that seeks to optimize the face recognition
accuracy or the overall threat detection and proposes
an overall system. The article presents \ldots{}",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Zudaire:2021:AMA,
author = "Sebasti{\'a}n A. Zudaire and Leandro Nahabedian and
Sebasti{\'a}n Uchitel",
title = "Assured Mission Adaptation of {UAVs}",
journal = j-TAAS,
volume = "16",
number = "3--4",
pages = "7:1--7:??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3513091",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:09 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3513091",
abstract = "The design of systems that can change their behaviour
to account for scenarios that were not foreseen at
design time remains an open challenge. In this article,
we propose an approach for adaptation of mobile robot
missions that is not constrained to a \ldots{}",
acknowledgement = ack-nhfb,
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Di:2021:RAC,
author = "Kai Di and Yifeng Zhou and Jiuchuan Jiang and Fuhan
Yan and Shaofu Yang and Yichuan Jiang",
title = "Risk-aware Collection Strategies for Multirobot
Foraging in Hazardous Environments",
journal = j-TAAS,
volume = "16",
number = "3--4",
pages = "8:1--8:??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3514251",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:09 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3514251",
abstract = "Existing studies on the multirobot foraging problem
often assume safe settings, in which nothing in an
environment hinders the robots' tasks. In many
real-world applications, robots have to collect objects
from hazardous environments like earthquake \ldots{}",
acknowledgement = ack-nhfb,
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Esmaeili:2021:HHA,
author = "Ahmad Esmaeili and John C. Gallagher and John A.
Springer and Eric T. Matson",
title = "{HAMLET}: a Hierarchical Agent-based Machine Learning
Platform",
journal = j-TAAS,
volume = "16",
number = "3--4",
pages = "9:1--9:??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3530191",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:09 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3530191",
abstract = "Hierarchical Multi-agent Systems provide convenient
and relevant ways to analyze, model, and simulate
complex systems composed of a large number of entities
that interact at different levels of abstraction. In
this article, we introduce HAMLET \ldots{}",
acknowledgement = ack-nhfb,
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Duboc:2021:SSM,
author = "Leticia Duboc and Rami Bahsoon and Faisal Alrebeish
and Carlos Mera-G{\'o}mez and Vivek Nallur and Rick
Kazman and Philip Bianco and Ali Babar and Rajkumar
Buyya",
title = "Systematic Scalability Modeling of {QoS}-aware Dynamic
Service Composition",
journal = j-TAAS,
volume = "16",
number = "3--4",
pages = "10:1--10:??",
month = dec,
year = "2021",
CODEN = "????",
DOI = "https://doi.org/10.1145/3529162",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:09 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3529162",
abstract = "In Dynamic Service Composition (DSC), an application
can be dynamically composed using web services to
achieve its functional and Quality of Services (QoS)
goals. DSC is a relatively mature area of research that
crosscuts autonomous and services \ldots{}",
acknowledgement = ack-nhfb,
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Weyns:2022:DLE,
author = "Danny Weyns and Omid Gheibi and Federico Quin and
Jeroen {Van Der Donckt}",
title = "Deep Learning for Effective and Efficient Reduction of
Large Adaptation Spaces in Self-adaptive Systems",
journal = j-TAAS,
volume = "17",
number = "1--2",
pages = "1:1--1:??",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3530192",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:10 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3530192",
abstract = "Many software systems today face uncertain operating
conditions, such as sudden changes in the availability
of resources or unexpected user behavior. Without
proper mitigation these uncertainties can jeopardize
the system goals. Self-adaptation is a \ldots{}",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Almohri:2022:DSD,
author = "Hussain Almohri and Layne Watson and David Evans and
Stephen Billups",
title = "Dynamic System Diversification for Securing
Cloud-based {IoT} Subnetworks",
journal = j-TAAS,
volume = "17",
number = "1--2",
pages = "2:1--2:??",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3547350",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:10 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3547350",
abstract = "Remote exploitation attacks use software
vulnerabilities to penetrate through a network of
Internet of Things (IoT) devices. This work addresses
defending against remote exploitation attacks on
vulnerable IoT devices. As an attack mitigation
strategy, we \ldots{}",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Mashayekhi:2022:PNE,
author = "Mehdi Mashayekhi and Nirav Ajmeri and George F. List
and Munindar P. Singh",
title = "Prosocial Norm Emergence in Multi-agent Systems",
journal = j-TAAS,
volume = "17",
number = "1--2",
pages = "3:1--3:??",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3540202",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:10 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3540202",
abstract = "Multi-agent systems provide a basis for developing
systems of autonomous entities and thus find
application in a variety of domains. We consider a
setting where not only the member agents are adaptive
but also the multi-agent system viewed as an entity in
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Pianini:2022:CAA,
author = "Danilo Pianini and Federico Pettinari and Roberto
Casadei and Lukas Esterle",
title = "A Collective Adaptive Approach to Decentralised
$k$-Coverage in Multi-robot Systems",
journal = j-TAAS,
volume = "17",
number = "1--2",
pages = "4:1--4:??",
month = jun,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3547145",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Fri Nov 11 07:17:10 MST 2022",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3547145",
abstract = "We focus on the online multi-object k -coverage
problem (OMOkC), where mobile robots are required to
sense a mobile target from k diverse points of view,
coordinating themselves in a scalable and possibly
decentralised way. There is active research on
\ldots{}",
acknowledgement = ack-nhfb,
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Adepu:2022:MAE,
author = "Sridhar Adepu and Nianyu Li and Eunsuk Kang and David
Garlan",
title = "Modeling and Analysis of Explanation for Secure
Industrial Control Systems",
journal = j-TAAS,
volume = "17",
number = "3--4",
pages = "5:1--5:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3557898",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Apr 5 09:50:24 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3557898",
abstract = "Many self-adaptive systems benefit from human
involvement and oversight, where a human operator can
provide expertise not available to the system and
detect \ldots{}",
acknowledgement = ack-nhfb,
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Zaker:2022:FVS,
author = "Farzin Zaker and Marin Litoiu and Mark Shtern",
title = "Formally Verified Scalable Look Ahead Planning For
Cloud Resource Management",
journal = j-TAAS,
volume = "17",
number = "3--4",
pages = "6:1--6:??",
month = dec,
year = "2022",
CODEN = "????",
DOI = "https://doi.org/10.1145/3555315",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Apr 5 09:50:24 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3555315",
abstract = "In this article, we propose and implement a
distributed autonomic manager that maintains service
level agreements (SLA) for each application scenario.
The \ldots{}",
acknowledgement = ack-nhfb,
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Bassil:2023:DSC,
author = "Jad Bassil and Abdallah Makhoul and Beno{\^{\i}}t
Piranda and Julien Bourgeois",
title = "Distributed Size-constrained Clustering Algorithm for
Modular Robot-based Programmable Matter",
journal = j-TAAS,
volume = "18",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3580282",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Apr 5 09:50:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3580282",
abstract = "Modular robots are defined as autonomous kinematic
machines with variable morphology. They are composed of
several thousands or even millions of modules that are
able to \ldots{}",
acknowledgement = ack-nhfb,
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Liang:2023:MDC,
author = "Qianlin Liang and Walid A. Hanafy and Ahmed Ali-Eldin
and Prashant Shenoy",
title = "Model-driven Cluster Resource Management for {AI}
Workloads in Edge Clouds",
journal = j-TAAS,
volume = "18",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3582080",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Apr 5 09:50:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3582080",
abstract = "Since emerging edge applications such as Internet of
Things (IoT) analytics and augmented reality have tight
latency constraints, hardware AI accelerators have been
recently \ldots{}",
acknowledgement = ack-nhfb,
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Bumiller:2023:UCM,
author = "Anne Bumiller and St{\'e}phanie Challita and Benoit
Combemale and Olivier Barais and Nicolas Aillery and
Gael {Le Lan}",
title = "On Understanding Context Modelling for Adaptive
Authentication Systems",
journal = j-TAAS,
volume = "18",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3582696",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Wed Apr 5 09:50:25 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3582696",
abstract = "In many situations, it is of interest for
authentication systems to adapt to context (e.g., when
the user's behavior differs from the previous
behavior). Hence, \ldots{}",
acknowledgement = ack-nhfb,
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Fuchs:2023:MRP,
author = "Andrew Fuchs and Andrea Passarella and Marco Conti",
title = "Modeling, Replicating, and Predicting Human Behavior:
a Survey",
journal = j-TAAS,
volume = "18",
number = "2",
pages = "4:1--4:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3580492",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 3 06:44:50 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3580492",
abstract = "Given the popular presupposition of human reasoning as
the standard for learning and decision making, there
have been significant efforts and a growing trend in
research \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Weyns:2023:SAI,
author = "Danny Weyns and Ilias Gerostathopoulos and Nadeem
Abbas and Jesper Andersson and Stefan Biffl and Premek
Brada and Tomas Bures and Amleto {Di Salle} and
Matthias Galster and Patricia Lago and Grace Lewis and
Marin Litoiu and Angelika Musil and Juergen Musil and
Panos Patros and Patrizio Pelliccione",
title = "Self-Adaptation in Industry: a Survey",
journal = j-TAAS,
volume = "18",
number = "2",
pages = "5:1--5:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3589227",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 3 06:44:50 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3589227",
abstract = "Computing systems form the backbone of many areas in
our society, from manufacturing to traffic control,
healthcare, and financial systems. When software plays
a vital role in the \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Donnell:2023:GPB,
author = "Nicola Mc Donnell and Jim Duggan and Enda Howley",
title = "A Genetic Programming-based Framework for
Semi-automated Multi-agent Systems Engineering",
journal = j-TAAS,
volume = "18",
number = "2",
pages = "6:1--6:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3584731",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 3 06:44:50 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3584731",
abstract = "With the rise of new technologies, such as Edge
computing, Internet of Things, Smart Cities, and Smart
Grids, there is a growing need for multi-agent systems
(MAS) approaches. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Tong:2023:GGD,
author = "Junbo Tong and Daming Shi and Yi Liu and Wenhui Fan",
title = "{GLDAP}: {Global Dynamic Action Persistence
Adaptation} for Deep Reinforcement Learning",
journal = j-TAAS,
volume = "18",
number = "2",
pages = "7:1--7:??",
month = jun,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3590154",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Jul 3 06:44:50 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3590154",
abstract = "In the implementation of deep reinforcement learning
(DRL), action persistence strategies are often adopted
so agents maintain their actions for a fixed or
variable number of steps. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "",
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Pianini:2023:FAS,
author = "Danilo Pianini and Vana Kalogeraki",
title = "Foreword: {ACSOS 2021} Special Issue",
journal = j-TAAS,
volume = "18",
number = "3",
pages = "8:1--8:??",
month = sep,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3612929",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Sep 26 11:17:57 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3612929",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Schmidt:2023:URS,
author = "Jorge F. Schmidt and Udo Schilcher and Arke Vogell and
Christian Bettstetter",
title = "Using Randomization in Self-organized Synchronization
for Wireless Networks",
journal = j-TAAS,
volume = "18",
number = "3",
pages = "9:1--9:??",
month = sep,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3605553",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Sep 26 11:17:57 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3605553",
abstract = "The concept of pulse-coupled oscillators for
self-organized synchronization has been applied to
wireless systems. Putting theory into practice,
however, faces certain obstacles, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Lesch:2023:SAO,
author = "Veronika Lesch and Marius Hadry and Christian
Krupitzer and Samuel Kounev",
title = "Self-aware Optimization of Adaptation Planning
Strategies",
journal = j-TAAS,
volume = "18",
number = "3",
pages = "10:1--10:??",
month = sep,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3568680",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Sep 26 11:17:57 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3568680",
abstract = "In today's world, circumstances, processes, and
requirements for software systems are becoming
increasingly complex. To operate properly in such
dynamic environments, software \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Fadiga:2023:ICL,
author = "Kanvaly Fadiga and Etienne Houz{\'e} and Ada
Diaconescu and Jean-Louis Dessalles",
title = "Improving Causal Learning Scalability and Performance
using Aggregates and Interventions",
journal = j-TAAS,
volume = "18",
number = "3",
pages = "11:1--11:??",
month = sep,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3607872",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Sep 26 11:17:57 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3607872",
abstract = "Smart homes are Cyber-Physical Systems (CPS) where
multiple devices and controllers cooperate to achieve
high-level goals. Causal knowledge on relations between
system entities is \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Camilli:2023:ERC,
author = "Matteo Camilli and Raffaela Mirandola and Patrizia
Scandurra",
title = "Enforcing Resilience in Cyber-physical Systems via
Equilibrium Verification at Runtime",
journal = j-TAAS,
volume = "18",
number = "3",
pages = "12:1--12:??",
month = sep,
year = "2023",
CODEN = "????",
DOI = "https://doi.org/10.1145/3584364",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Sep 26 11:17:57 MDT 2023",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3584364",
abstract = "Cyber-physical systems often operate in dynamic
environments where unexpected events should be managed
while guaranteeing acceptable behavior. Providing
comprehensive \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Schmerl:2024:FSS,
author = "Bradley Schmerl and Javier C{\'a}mara and Martina
Maggio",
title = "Foreword: {SEAMS 2022} Special Issue",
journal = j-TAAS,
volume = "19",
number = "1",
pages = "1:1--1:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3643642",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Mar 19 08:21:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3643642",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "1",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Li:2024:UGP,
author = "Jia Li and Shiva Nejati and Mehrdad Sabetzadeh",
title = "Using Genetic Programming to Build Self-Adaptivity
into Software-Defined Networks",
journal = j-TAAS,
volume = "19",
number = "1",
pages = "2:1--2:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3616496",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Mar 19 08:21:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3616496",
abstract = "Self-adaptation solutions need to periodically
monitor, reason about, and adapt a running system. The
adaptation step involves generating an adaptation
strategy and applying it \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "2",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Cleland-Huang:2024:HMT,
author = "Jane Cleland-Huang and Theodore Chambers and Sebastian
Zudaire and Muhammed Tawfiq Chowdhury and Ankit Agrawal
and Michael Vierhauser",
title = "Human-machine Teaming with Small Unmanned Aerial
Systems in a {MAPE-K} Environment",
journal = j-TAAS,
volume = "19",
number = "1",
pages = "3:1--3:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3618001",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Mar 19 08:21:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3618001",
abstract = "The Human Machine Teaming (HMT) paradigm focuses on
supporting partnerships between humans and autonomous
machines. HMT describes requirements for \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "3",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Silva:2024:SAT,
author = "Samira Silva and Patrizio Pelliccione and Antonia
Bertolino",
title = "Self-Adaptive Testing in the Field",
journal = j-TAAS,
volume = "19",
number = "1",
pages = "4:1--4:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3627163",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Mar 19 08:21:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3627163",
abstract = "We are increasingly surrounded by systems connecting
us with the digital world and facilitating our life by
supporting our work, leisure, activities at home,
health, and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "4",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Gheibi:2024:DDA,
author = "Omid Gheibi and Danny Weyns",
title = "Dealing with Drift of Adaptation Spaces in
Learning-based Self-Adaptive Systems Using Lifelong
Self-Adaptation",
journal = j-TAAS,
volume = "19",
number = "1",
pages = "5:1--5:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3636428",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Mar 19 08:21:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3636428",
abstract = "Recently, machine learning (ML) has become a popular
approach to support self-adaptation. ML has been used
to deal with several problems in self-adaptation, such
as maintaining \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "5",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Fang:2024:PNR,
author = "Xinwei Fang and Sinem Getir Yaman and Radu Calinescu
and Julie Wilson and Colin Paterson",
title = "Predicting Nonfunctional Requirement Violations in
Autonomous Systems",
journal = j-TAAS,
volume = "19",
number = "1",
pages = "6:1--6:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3632405",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Mar 19 08:21:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3632405",
abstract = "Autonomous systems are often used in applications
where environmental and internal changes may lead to
requirement violations. Adapting to these changes
proactively, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "6",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Baresi:2024:NCF,
author = "Luciano Baresi and Davide Yi Xian Hu and Giovanni
Quattrocchi and Luca Terracciano",
title = "{NEPTUNE}: a Comprehensive Framework for Managing
Serverless Functions at the Edge",
journal = j-TAAS,
volume = "19",
number = "1",
pages = "7:1--7:??",
month = mar,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3634750",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Mar 19 08:21:31 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3634750",
abstract = "Applications that are constrained by low-latency
requirements can hardly be executed on cloud
infrastructures, given the high network delay required
to reach remote servers. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "7",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Bahsoon:2024:ATA,
author = "Rami Bahsoon",
title = "{{\booktitle{ACM Transactions on Autonomous and
Adaptive Systems (ACM TAAS)}}}: Editorial Welcome and
Update on State of the Journal, Vision and Ongoing
Developments",
journal = j-TAAS,
volume = "19",
number = "2",
pages = "8:1--8:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3661314",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jun 25 07:23:47 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3661314",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "8",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Sarkadi:2024:SGH,
author = "Stefan Sarkadi",
title = "Self-Governing Hybrid Societies and Deception",
journal = j-TAAS,
volume = "19",
number = "2",
pages = "9:1--9:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3638549",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jun 25 07:23:47 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3638549",
abstract = "Self-governing hybrid societies are multi-agent
systems where humans and machines interact by adapting
to each other's behaviour. Advancements in Artificial
Intelligence \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "9",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Sunel:2024:FMB,
author = "Saim Sunel and Erkin {\c{C}}ilden and Faruk Polat",
title = "Faster {MIL}-based Subgoal Identification for
Reinforcement Learning by Tuning Fewer
Hyperparameters",
journal = j-TAAS,
volume = "19",
number = "2",
pages = "10:1--10:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3643852",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jun 25 07:23:47 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3643852",
abstract = "Various methods have been proposed in the literature
for identifying subgoals in discrete reinforcement
learning (RL) tasks. Once subgoals are discovered, task
decomposition \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "10",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Garcia:2024:DMS,
author = "Luis Garcia and Huma Samin and Nelly Bencomo",
title = "Decision Making for Self-Adaptation Based on Partially
Observable Satisfaction of Non-Functional
Requirements",
journal = j-TAAS,
volume = "19",
number = "2",
pages = "11:1--11:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3643889",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jun 25 07:23:47 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3643889",
abstract = "Approaches that support the decision-making of
self-adaptive and autonomous systems (SAS) often
consider an idealized situation where (i) the system's
state is treated as fully \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "11",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Li:2024:GTS,
author = "Nianyu Li and Mingyue Zhang and Jialong Li and Sridhar
Adepu and Eunsuk Kang and Zhi Jin",
title = "A Game-Theoretical Self-Adaptation Framework for
Securing Software-Intensive Systems",
journal = j-TAAS,
volume = "19",
number = "2",
pages = "12:1--12:??",
month = jun,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3652949",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Jun 25 07:23:47 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3652949",
abstract = "Security attacks present unique challenges to the
design of self-adaptation mechanism for
software-intensive systems due to the adversarial
nature of the environment. \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "12",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Li:2024:GAS,
author = "Jialong Li and Mingyue Zhang and Nianyu Li and Danny
Weyns and Zhi Jin and Kenji Tei",
title = "Generative {AI} for Self-Adaptive Systems: State of
the Art and Research Roadmap",
journal = j-TAAS,
volume = "19",
number = "3",
pages = "13:1--13:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3686803",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 1 11:34:29 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3686803",
abstract = "Self-adaptive systems (SASs) are designed to handle
changes and uncertainties through a feedback loop with
four core functionalities: monitoring, analyzing,
planning, and \ldots{} ",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "13",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{DiNitto:2024:IAS,
author = "Elisabetta {Di Nitto} and Ilias Gerostathopoulos and
Kirstie Bellman",
title = "Introduction to {ACSOS 2022} Special Issue",
journal = j-TAAS,
volume = "19",
number = "3",
pages = "14:1--14:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3676168",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 1 11:34:29 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3676168",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "14",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Metzger:2024:USE,
author = "Andreas Metzger and Jan Laufer and Felix Feit and
Klaus Pohl",
title = "A User Study on Explainable Online Reinforcement
Learning for Adaptive Systems",
journal = j-TAAS,
volume = "19",
number = "3",
pages = "15:1--15:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3666005",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 1 11:34:29 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3666005",
abstract = "Online reinforcement learning (RL) is increasingly
used for realizing adaptive systems in the presence of
design time uncertainty because Online RL can leverage
data \ldots{} ",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "15",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Tunde-Onadele:2024:SSM,
author = "Olufogorehan Tunde-Onadele and Yuhang Lin and Xiaohui
Gu and Jingzhu He and Hugo Latapie",
title = "Self-Supervised Machine Learning Framework for Online
Container Security Attack Detection",
journal = j-TAAS,
volume = "19",
number = "3",
pages = "16:1--16:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3665795",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 1 11:34:29 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3665795",
abstract = "Container security has received much research
attention recently. Previous work has proposed to apply
various machine learning techniques to detect security
attacks in containerized \ldots{} ",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "16",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Langford:2024:AMF,
author = "Michael Austin Langford and Sol Zilberman and Betty
Cheng",
title = "{Anunnaki}: a Modular Framework for Developing Trusted
Artificial Intelligence",
journal = j-TAAS,
volume = "19",
number = "3",
pages = "17:1--17:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3649453",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 1 11:34:29 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3649453",
abstract = "Trustworthy artificial intelligence (Trusted AI) is of
utmost importance when learning-enabled components
(LECs) are used in autonomous, safety-critical systems.
When reliant \ldots{} ",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "17",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Casimiro:2024:SAM,
author = "Maria Casimiro and Diogo Soares and David Garlan and
Lu{\'\i}s Rodrigues and Paolo Romano",
title = "Self-adapting Machine Learning-based Systems via a
Probabilistic Model Checking Framework",
journal = j-TAAS,
volume = "19",
number = "3",
pages = "18:1--18:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3648682",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 1 11:34:29 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3648682",
abstract = "This article focuses on the problem of optimizing the
system utility of Machine Learning (ML)-based systems
in the presence of ML mispredictions. This is achieved
via the \ldots{} ",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "18",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Golpayegani:2024:AEC,
author = "Fateneh Golpayegani and Nanxi Chen and Nima Afraz and
Eric Gyamfi and Abdollah Malekjafarian and Dominik
Sch{\"a}fer and Christian Krupitzer",
title = "Adaptation in Edge Computing: a Review on Design
Principles and Research Challenges",
journal = j-TAAS,
volume = "19",
number = "3",
pages = "19:1--19:??",
month = sep,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3664200",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Tue Oct 1 11:34:29 MDT 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3664200",
abstract = "Edge computing places the computational services and
resources closer to the user proximity, to reduce
latency, and ensure the quality of service and
experience. Low \ldots{} ",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "19",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Wang:2024:REA,
author = "Ziming Wang and Changwu Huang and Xin Yao",
title = "A Roadmap of Explainable Artificial Intelligence:
Explain to Whom, When, What and How?",
journal = j-TAAS,
volume = "19",
number = "4",
pages = "20:1--20:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3702004",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Nov 25 08:28:20 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3702004",
abstract = "Explainable artificial intelligence (XAI) has gained
significant attention, especially in AI-powered
autonomous and adaptive systems (AASs). However, a
discernible disconnect \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "20",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Faruq:2024:FST,
author = "Fatma Faruq and Bruno Lacerda and Nick Hawes and David
Parker",
title = "A Framework for Simultaneous Task Allocation and
Planning under Uncertainty",
journal = j-TAAS,
volume = "19",
number = "4",
pages = "21:1--21:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3665499",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Nov 25 08:28:20 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3665499",
abstract = "We present novel techniques for simultaneous task
allocation and planning in multi-robot systems
operating under uncertainty. By performing task
allocation and \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "21",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Bhattacharya:2024:DBL,
author = "Ratnadeep Bhattacharya and Yuan Gao and Timothy Wood",
title = "Dynamically Balancing Load with Overload Control for
Microservices",
journal = j-TAAS,
volume = "19",
number = "4",
pages = "22:1--22:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3676167",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Nov 25 08:28:20 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3676167",
abstract = "The microservices architecture simplifies application
development by breaking monolithic applications into
manageable microservices. However, this distributed
microservice \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "22",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Fuchs:2024:ODC,
author = "Andrew Fuchs and Andrea Passarella and Marco Conti",
title = "Optimizing Delegation in Collaborative Human-{AI}
Hybrid Teams",
journal = j-TAAS,
volume = "19",
number = "4",
pages = "23:1--23:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3687130",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Nov 25 08:28:20 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3687130",
abstract = "When humans and autonomous systems operate together as
what we refer to as a hybrid team, we of course wish to
ensure the team operates successfully and effectively.
We refer \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "23",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Faqrizal:2024:AIC,
author = "Irman Faqrizal and Gwen Sala{\"u}n and Yli{\`e}s
Falcone",
title = "Adaptive Industrial Control Systems via {IEC 61499}
and Runtime Enforcement",
journal = j-TAAS,
volume = "19",
number = "4",
pages = "24:1--24:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3691345",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Nov 25 08:28:20 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3691345",
abstract = "This work envisions industrial control systems that
can reliably adapt to requirements. We rely on the
international standard IEC 61499 to achieve this goal.
The standard allows \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "24",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
@Article{Brand:2024:ATO,
author = "Michael Brand and Anand Narayan and Sebastian
Lehnhoff",
title = "Applying Trust for Operational States of {ICT}-Enabled
Power Grid Services",
journal = j-TAAS,
volume = "19",
number = "4",
pages = "25:1--25:??",
month = dec,
year = "2024",
CODEN = "????",
DOI = "https://doi.org/10.1145/3654672",
ISSN = "1556-4665 (print), 1556-4703 (electronic)",
ISSN-L = "1556-4665",
bibdate = "Mon Nov 25 08:28:20 MST 2024",
bibsource = "https://www.math.utah.edu/pub/tex/bib/taas.bib",
URL = "https://dl.acm.org/doi/10.1145/3654672",
abstract = "Digitalization enables the automation required to
operate modern cyber-physical energy systems (CPESs),
leading to a shift from hierarchical to organic
systems. However, \ldots{}",
acknowledgement = ack-nhfb,
ajournal = "ACM Trans. Auton. Adapt. Syst.",
articleno = "25",
fjournal = "ACM Transactions on Autonomous and Adaptive Systems
(TAAS)",
journal-URL = "https://dl.acm.org/loi/taas",
}
