Adaptive exchange of distributed partial models@run.time for highly dynamic systems

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Adaptive exchange of distributed partial models@run.time for highly dynamic systems

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Publication Conference Paper, peer reviewed
Title Adaptive exchange of distributed partial models@run.time for highly dynamic systems
Author(s) Götz, Sebastian ; Gerostathopoulos, Ilias ; Krikava, Filip ; Shahzada, Adnan ; Spalazzese, Romina
Date 2015
Editor(s) Inverardi, Paola; Schmerl, Bradley
English abstract
Future software systems will be highly dynamic. We are already experiencing, for example, a world where Cyber-Physical Systems (CPSs) play a more and more crucial role. CPSs integrate computational, physical, and networking elements; they comprise a number of subsystems, or entities, that are connected and work together. The open and highly distributed nature of the resulting system gives rise to unanticipated runtime management issues such as the organization of subsystems and resource optimization. In this paper, we focus on the problem of knowledge sharing among cooperating entities of a highly distributed and self-adaptive CPS. Specifically, the research question we address is how to minimize the knowledge that needs to be shared among the entities of a CPS. If all entities share all their knowledge with each other, the performance, energy and memory consumption as well as privacy are unnecessarily negatively impacted. To reduce the amount of knowledge to share between CPS entities, we envision a role-based adaptive knowledge exchange technique working on partial runtime models, i.e., models reflecting only part of the state of the CPS. Our approach supports two adaptation dimensions: the runtime type of knowledge and conditions over the knowledge. We illustrate the feasibility of our technique by discussing its realization based on two state-of-the-art approaches.
DOI http://dx.doi.org/10.1109/SEAMS.2015.25 (link to publisher's fulltext)
Host/Issue 2015 IEEE/ACM 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) : Proceeding
ISBN 978-1-4799-1934-5
Pages 64-70
Language eng (iso)
Subject(s) Technology
Research Subject Categories::TECHNOLOGY
Note SEAMS 2015, 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Florence, Italy, May 18 – 19, 2015.
Handle http://hdl.handle.net/2043/19353 (link to this page)
Link http://www.disim.univaq.it/seams2015/ (external link to related web page)

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