[AISWorld] 2nd CfP (Submission Extension): Workshop on Self-Aware Computing (SeAC) at ICAC 2017

[Nikolas Herbst]

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2nd CALL FOR PAPERS (DEADLINE EXTENSION)

Workshop on Self-Aware Computing (SeAC)
at ICAC 2017, July 17-18, 2017, Columbus, Ohio - USA

http://seac2017.informatik.uni-wuerzburg.de/
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IMPORTANT DATES

-	Extended paper submission deadline: April 3, 2017
-	Author notification: April 20, 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 at 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 COMMITTEE

Marco Autili, University of L'Aquila, Italy
Kirstie Bellman, The Aerospace Corporation, USA
Nelly Bencomo, Aston University, UK
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