The 2nd Workshop on Distributed Adaptive Systems (DAS), colocated at the
13th IEEE International Conference on Autonomic Computing (ICAC)
Call for papers [DAS@ICAC2016]
On the account of the recent advances in technology, computational
systems have to be thought as ever growing distributed artificial
environments in which requirements, constituent components and user
needs dynamically change in unpredictable ways. Coping with such
uncertainties represents an interesting challenge for the designer of
these systems, specifically regarding how to guarantee adaptivity
towards both functional and non-functional requirements, as well as
autonomously handling coordination and collaboration aspects among
constituent units that have to act as autonomous and heterogeneous
agents. These agents more often rely on incomplete information regarding
the whole system in which they are integrated, but yet, in order to
foster their Self-* properties, they need to discover, learn and evolve
their behavior by taking into account how other agents are performing
within the considered environment. The purpose of this workshop is
therefore to create an useful forum of discussion on how Self-*
properties and design & implementation concepts that are nowadays
considered in Autonomic Computing literature can be extended and
exploited in case of distributed autonomous systems , hence how to
create adaptivity as a whole by starting from single autonomous units.
Practitioners and researchers are therefore invited to submit
interesting contributions both in theoretical work and real world
applications so to create a fruitful discussion regarding the presented
challenges and the following related topics:
Models and Methods for designing DAS
Distributed learning and experience sharing among agents
Advances in Multi-Agent System coordination
Formal methods and languages for distributed adaptive systems
Modelling distributed adaptive systems
Collectivism in distributed adaptive systems
Optimization in distributed adaptive systems
Framework and design patterns for distributed adaptive systems
Bio-inspired and evolutionary approaches to distributed adaptive systems
Tools and simulation software for distributed adaptive systems
Case studies and real world applications.
Mechanisms and Patterns for decentralized decision making and control
Industrial best practices and case studies
Surveys and Comparative studies in distributed adaptive systems
Important dates
Paper Submission March 20, 2016
Notification April 30, 2016
Camera Ready May 8, 2016
Workshop date July 19, 2016
Paper submission
All papers must represent original and unpublished work that is not
currently under review. Papers will be judged on originality,
significance, interest, correctness, clarity, and relevance to the
broader community. Papers are strongly encouraged to report on
experiences, measurements, user studies, and provide an appropriate
quantitative evaluation if at all possible.
The maximum number of allowed pages is 6.
Submission instruction will follow.
Author Kit/Submission Instructions can be found at:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
The submission of paper can be done by EasyChair at:
https://easychair.org/conferences/?conf=dasicac2016
Accepted papers will be included in the ICAC Workshop 2016 Proceedings,
which will be published in IEEE Xplore.
Outstanding papers will be recommended for publication in
IEEE SMC magazine, special issue,
http://www.ieeesmc.org/publications/smc-magazine
IET Software, special issue on Software Architectures for Decentralized
Adaptive Systems,
http://digital-library.theiet.org/files/IET_SEN_DAS_SI_CFP.pdf
At least one author of each accepted paper is expected to attend the
workshop.
Program Chairs
Antonio Bucchiarone, Fondazione Bruno Kessler, Trento, Italy
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Giacomo Cabri, Universit‡ di Modena e Reggio Emilia, Modena, Italy
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Nicola Capodieci, Universit‡ di Modena e Reggio Emilia, Modena, Italy
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Haibin Zhu, Nipissing University, Canada [log in to unmask]
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|----------------------------------------------------|
| Prof. Giacomo Cabri - Ph.D., Associate Professor
| Dip. di Scienze Fisiche, Informatiche e Matematiche
| Universita' di Modena e Reggio Emilia - Italia
| e-mail [log in to unmask]
| tel. +39-059-2058320 fax +39-059-2055216
|----------------------------------------------------|
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