Introduction of Self Optimization Features in a Selfbenchmarking Architecture
| Autor: | Bendahmane, El Hachemi, Dillenseger, Bruno, Moreaux, Patrice |
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| Přispěvatelé: | Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Orange Labs R&D [Rennes], France Télécom, Alex Galis, University College London, UK Bruno Dillenseger, Orange Labs, France, Moreaux, Patrice, Alex Galis, University College London, UK Bruno Dillenseger, Orange Labs, France |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: | |
| Zdroj: | The Seventh International Conference on Autonomic and Autonomous Systems (ICAS 2011) The Seventh International Conference on Autonomic and Autonomous Systems (ICAS 2011), May 2011, Venice, Italy. pp.37-42 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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