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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. In: 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
    School / Department / Research Groups: 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: 31 Mar 2011 18:20
    URI: http://gala.gre.ac.uk/id/eprint/966

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