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MRT-ICAC 2016 : The International Workshop on Models@run.time for Self-aware Computing Systems | |||||||||||||||||
Link: http://st.inf.tu-dresden.de/MRT16-ICAC/?site=cfp | |||||||||||||||||
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Call For Papers | |||||||||||||||||
Call for Papers
1st International Workshop on Models@run.time for Self-aware Computing Systems In conjunction with ICAC 2016 Würzburg, Germany, July 18th, 2016 http://st.inf.tu-dresden.de/MRT16/ Important Dates Submissions of abstracts: March 16th, 2016 Submissions of papers: March 23rd, 2016 Notification: April 17th, 2016 Camera Ready: May 6th, 2016 Workshop date: July 18th, 2016 Introduction In order to most effectively use models at runtime, self-aware computing systems need increasingly powerful ways of observing their operational environment and their own performance and behavior and then building and refining their own models accordingly. An inherent principle of self-aware computing systems is having diverse feedback loops, which build a causal connection between the computing system and a reflective layer. The computing system is continously observed and, based on this, the system is able to update and modify its models to reason about its goals, context, operational environment and its own resources, decisions and actions. To effectively and efficiently realize these feedback loops, models and especially modifiable and updatable models@runtime are essential. The models@run. time paradigm proposes to use runtime models as abstractions of the computing system for the purpose of more efficient reasoning upon both its runtime observations and learned knowledge. Hence, models@runtime is especially looking for more innovative approaches to the causal connection between the system and the runtime model, with particular focus on a transaction concept for this causal connection for such issues as timing, roll-back ability and data-consistency. Goal The goal of this workshop is to provide a bridging podium for researchers working in the area of self-awareness, self-modelling, autonomous and organic computing, as well as self-adaptive and self-organizing systems with a focus on runtime representations that can be used by the system to reason about its goals, context, operational environment and its own resources, decisions and actions. Topics of interest We are particularly interested in work covering the following non-exhaustive list of topics: - languagues and formalisms for runtime representations - approaches realizing the causal connection between the computing system and its reflective layer - applications and case studies involving runtime representations - a general discourse on - the need for and characteristics of runtime representations - the properties of causal connections (e.g., temporal properties, uncertainty, etc.) - interdisciplinary approaches to models@run.time, as for example the mutual influence (or coercion) of socio-technical systems - How runtime models can address basic principles of areas such as game theory. - Distributed models@run.time, i.e., having multiple, interacting systems, each having its own runtime model and in general, issues of models at runtime in large scale systems - Incomplete, partial models - Impacts of uncertainty - Approaches to real-time model-building, refinement - Relevant theory on transactions - Relevant lessons learned from bio-inspired, socially-inspired, unconventional systems - Modular models@run.time, i.e., approaches to improve the modularity of models@run.time systems for better reuse - Co-evolving models@run.time, i.e., systematic approaches to synchronize multiple, interacting models@run.time systems - For those papers focusing on executable models at runtime, we encourage the investigation of how the feedback from the systems are reflected in the executable models (so that they have causal (bi-)connections with the systems) The workshop participants will be selected based on their experience and ideas related to this maturing field. You are invited to apply for attendance by sending: - a full paper (8 pages) on original research, lessons learned from realizing an approach or experiences on transferring a research prototype into practice, - a position paper (6 pages) covering a well-argued vision or position, All papers must conform to the double-column IEEE formatting guidelines. At least three PC members will review each submission. The authors will be notified about acceptance before the ICAC 2016 early registration deadline. Organizers - Sebastian Götz (main contact), TU Dresden, Germany - Kirstie Bellman, Topcy House Consulting, US - Nelly Bencomo, Aston University, UK - Gordon Blair, Lancaster University, UK Program Committee - Franck Chauvel, SINTEF, Norway - Hui Song, SINTEF, Norway - Mahdi Derakhshanmanesh, University of Koblenz-Landau, Germany - Antonio Filieri, Imperial College, UK - Ta’id Holmes, Deutsche Telekom AG, Germany - Jean-Marc Jézéquel, Triskell Team,IRISA, France - Chris Landauer, The Aerospace Corporation, USA - Holger Giese, Universität Potsdam, Germany - Matthias Tichy, Uni. Ulm, Germany - Thomas Vogel, Universität Potsdam, Germany - Kurt Geihs, Uni. Kassel, Germany - Lars Grunske, HU Berlin, Germany - Yves La Traon, Uni. Luxembourg, Luxembourg - Lionel Seinturier, Uni. Lille, France Further Information Web site: http://st.inf.tu-dresden.de/MRT16-ICAC/ Contact: Sebastian Götz (sebastian.goetz@acm.org) |
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