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Exploring adaptation & self-adaptation in autonomic computing systems

Exploring adaptation & self-adaptation in autonomic computing systems

Ibrahim, M, Anthony, Richard, Taleb-Bendiab, A and Gruenwald, L (2006) Exploring adaptation & self-adaptation in autonomic computing systems. Proceedings of the 17th International Conference on Database and Expert Systems Applications (DEXA'06). IEEE Computer Society, pp. 129-135. ISBN 0 7695 2641 1

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Abstract

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.

Item Type: Book Section
Additional Information: (c) 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."
Uncontrolled Keywords: self adaptation, autonomic systems, acs
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
Related URLs:
Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/966

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