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17th International Conference on Database and Expert Systems Applications (DEXA'06)
Exploring Adaptation & Self-Adaptation in Autonomic Computing Systems
Krakow, Poland
September 04-September 08
ISBN: 0-7695-2641-1
M.T. Ibrahim, University of Greenwich UK
R.J. Anthony, University of Greenwich UK
T. Eymann, University of Bayreuth Germany
A. Taleb-Bendiab, University of Liverpool John Moore?s UK
L. Gruenwald, NSF, USA
This panel paper sets out to discuss what self-adaptation means, and to explore the extent to which current autonomic systems exhibit truly self-adaptive behaviour. Many of the currently cited examples are clearly adaptive, but debate remains as to what extent they are simply following prescribed adaptation rules within preset bounds, and to what extent they have the ability to truly learn new behaviour. Is there a standard test that can be applied to differentiate? Is adaptive behaviour sufficient anyway? Other autonomic computing issues are also discussed.
Citation:
M.T. Ibrahim, R.J. Anthony, T. Eymann, A. Taleb-Bendiab, L. Gruenwald, "Exploring Adaptation & Self-Adaptation in Autonomic Computing Systems," dexa, pp.129-138, 17th International Conference on Database and Expert Systems Applications (DEXA'06), 2006
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