[alife] CFP - Evaluation of Self-Adaptive and Self-Organizing Systems (Eval4SASO)

[Tom Holvoet]

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(Sorry for cross-posting)


				EVAL4SASO
		1st IEEE International Workshop on
		EVALUATION for SELF-ADAPTIVE
		and SELF-ORGANIZING SYSTEMS
				Lyon, France,
			   September 10 2012

	   A workshop at the SASO-2012 conference...

For topics and full CFP: https://sites.google.com/site/eval4saso2012/

Self-adaptive and self-organizing systems are, by nature, systems that operate and adapt under dynamic circumstances. Any scientific study of a software solution should include a thorough evaluation. The last decade has seen many self-adaptive and self-organizing systems proposed and studied. However, while the literature shows an element of evaluation of the proposed algorithms or systems, they also highlight that a fair comparison between algorithms is a very difficult and unsolved problem. Evaluating solutions to dynamic problems is particularly complicated and challenging. Additionally, but related to these challenges, there are relatively few (and in some cases no) benchmark suites or codes for dynamic scenarios to work with. In short, disciplined approaches to allow us to reason and study the qualities of SASO systems are required.

This workshop aims to bring together a variety of researchers in the SASO, autonomic computing and cyber physical systems areas, to discuss these topics. The workshop solicits experience reports, theoretical work, position statements, and other research contributions.
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Important Deadlines

Abstract submission:                                          July 1, 2012
Full paper submission:                                       July 4, 2012
Notification of acceptance:                                 July 25, 2012
Camera ready version of accepted papers:       August 24, 2012
Early registration:                                               August 20, 2012

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Dr Julie A. McCann
Reader in Computer Systems
Department of Computing, Imperial College London, UK

r:  557 Huxley Building
p: +44 (0)207 594 8375
e: jamm at imperial.ac.uk
w: www.doc.ic.ac.uk/~jamm
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