Introduction of Self Optimization Features in a Selfbenchmarking Architecture

Abstract : Benchmarking client-server systems involve complex, distributed technical infrastructures, whose management deserves an autonomic approach. It also relies on observation, analysis and feedback steps that closely matches the autonomic control loop principle. While previous work have shown how to introduce autonomic load testing features through self-regulated load injection, this paper sketches the path to full self-benchmarking, introducing self-optimization features to get meaningful results. Our contribution is twofold: completion of a component-based architecture, combining several autonomic control loops, to fully support self-benchmarking, and an original constraints programming-based optimization algorithm. The relevance of this work in progress is partially evaluated through first experimental results.
Type de document :
Communication dans un congrès
Alex Galis, University College London, UK Bruno Dillenseger, Orange Labs, France. The Seventh International Conference on Autonomic and Autonomous Systems (ICAS 2011), May 2011, Venice, Italy. IARIA, pp.37-42, 2011
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http://hal.univ-smb.fr/hal-00621770
Contributeur : Patrice Moreaux <>
Soumis le : lundi 12 septembre 2011 - 13:04:53
Dernière modification le : mercredi 10 janvier 2018 - 09:50:17

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  • HAL Id : hal-00621770, version 1

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El Hachemi Bendahmane, Bruno Dillenseger, Patrice Moreaux. Introduction of Self Optimization Features in a Selfbenchmarking Architecture. Alex Galis, University College London, UK Bruno Dillenseger, Orange Labs, France. The Seventh International Conference on Autonomic and Autonomous Systems (ICAS 2011), May 2011, Venice, Italy. IARIA, pp.37-42, 2011. 〈hal-00621770〉

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