CfP 2nd Workshop on Distributed Adaptive Systems (DAS) at ICAC 2016

[Giacomo Cabri]

The 2nd Workshop on Distributed Adaptive Systems (DAS), colocated at the 
13th IEEE International Conference on Autonomic Computing (ICAC)


Call for papers [DAS at 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 
bucchiarone at fbk.eu
Giacomo Cabri, Universit‡ di Modena e Reggio Emilia, Modena, Italy 
giacomo.cabri at unimore.it
Nicola Capodieci, Universit‡ di Modena e Reggio Emilia, Modena, Italy 
nicola.capodieci at unimore.it
Haibin Zhu, Nipissing University, Canada haibinz at nipissingu.ca

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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 giacomo.cabri at unimore.it
| tel. +39-059-2058320  fax +39-059-2055216
|----------------------------------------------------|