-------- Weitergeleitete Nachricht -------- Betreff: [AISWorld] CfP: Workshop on Self-Aware Computing (SeAC) at ICAC 2017, July 17-18, Columbus, Ohio USA Datum: Fri, 20 Jan 2017 15:51:09 +0100 Von: Nikolas Herbst nikolas.herbst@uni-wuerzburg.de
Please excuse if you receive multiple copies of this CfP: __________________________________________________________________
CALL FOR PAPERS
Workshop on Self-Aware Computing (SeAC) at ICAC 2017, July 17-18, 2017, Columbus, Ohio - USA __________________________________________________________________
IMPORTANT DATES
- Paper submission deadline: March 24, 2017 - Author Notification: April 14, 2017 - Final Manuscript: April 28, 2017 All deadlines are 11:59 pm AoE (Anytime on Earth)
SCOPE
During the past decade, many different research communities have explored the aspects of self-awareness in computing systems, each from their own perspective. Relevant work can be found in different areas including autonomic computing, self-adaptive and self-organizing systems, machine learning, artificial intelligence and multi-agent systems, organic computing, context- and situation-aware systems, reflective computing, model-predictive control, as well as work from the models@run-time community.
The workshop on self-aware computing (SeAC) provides a forum to foster interaction and collaborations between the respective research communities, raising the awareness about related research efforts and synergies that can be exploited to advance the state of the art. The workshop was initiated by the Dagstuhl Seminar 15041 (http://www.dagstuhl.de/15041) on "Model-driven Algorithms and Architectures for Self-Aware Computing Systems“, which brought together 45 international experts. The term „self-aware computing system“ is understood in a broad sense seeking to integrate the different ways in which this term is used in the interdisciplinary research landscape.
"Self-aware computing systems are computing systems that: - learn models capturing knowledge about themselves and their environment (such as their structure, design, state, possible actions, and run-time behavior) on an ongoing basis and - reason using the models (for example predict, analyze, consider, plan) enabling them to act based on their knowledge and reasoning (for example explore, explain, report, suggest, self-adapt, or impact their environment) in accordance with higher-level goals, which may also be subject to change.
TOPICS OF INTEREST
- Fundamental science and theory of self-aware computing systems - Levels and aspects of self-aware computing systems - Architectures for individual and collective systems - Methods and algorithms for model learning (self-modeling) and reasoning - Self-adaptation in individual and collective systems - Synthesis and verification - Metrics and benchmarks - Transition strategies for increasing self-awareness in existing systems - Open challenges and future research directions - Applications and case studies: cloud computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, traffic management, autonomous robotics, and space applications.
SUBMISSION
The workshop participants will be selected based on their experience and ideas related to the field of self-aware computing. There are two ways to participate: i) present a talk without a respective paper published in the workshop proceedings, ii) submit a paper to be presented at the workshop and published in the workshop proceedings.
We solicit the following types of contributions: - Talk extended abstract limited to 1 page (without formatting restrictions) - Technical paper limited to 8 pages (double column, IEEE format)
Contributions in the 1st category may have already been (partially) presented at other events or in publications. Contributions in the 2nd category (technical papers) must represent original and unpublished work that is not currently under review. Technical papers may report on original research, lessons learned from realizing an approach, or experiences on transferring a research prototype into practice. Shorter work-in-progress or position papers that motivate the community to address new challenges are also welcome. Papers will be reviewed by at least two PC members and judged on originality, significance, interest, correctness, clarity, and relevance to the broader community. At least one author of each accepted submission is required to attend the workshop. Technical papers will be published by IEEE Computer Society Press and made available as a part of the IEEE Xplore Digital Library. In addition, papers will be part of the ICAC conference proceedings with ISBN number. Technical papers should follow the double column, IEEE format and need to be submitted electronically via EasyChair. Extended abstracts need to be submitted as "abstract only" submissions via EasyChair (https://easychair.org/conferences/?conf=seac2017).
ORGANIZERS
Samuel Kounev and Nikolas Herbst, University of Würzburg, Germany Martina Maggio, Lund University, Sweden
PROGRAM COMMITEE (preliminary)
Marco Autili, University of L'Aquila, Italy Kirstie Bellman, The Aerospace Corporation, USA Javier Camara, Carnegie Mellon University, USA Betty H.C. Cheng, Michigan State University, USA Lukas Esterle, TU Wien, Austria Kurt Geihs, Universitaet Kassel, Germany Holger Giese, Hasso Plattner Institute, Germany Daniel Gmach, HP Labs, USA Sebastian Goetz, University of Technology Dresden, Germany Niklas Karlsson, AOL, USA Jeff Kephart, IBM T.J. Watson Research Center, USA Peter Lewis, Aston University, UK Ole J. Mengshoel, Carnegie Mellon University – Silicon Valley, US Arif Merchant, Google Inc. , USA Xiaoyun Zhu, Futurewei Technologies, USA Andrea Zisman, The Open University, UK
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