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Introduction of Self Optimization Features in a Selfbenchmarking Architecture

Authors:
El Hachemi Bendahmane
Bruno Dillenseger
Patrice Moreaux

Keywords: benchmarking; autonomic computing; self-optimization; constraint satisfaction problem.

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.

Pages: 37 to 42

Copyright: Copyright (c) IARIA, 2011

Publication date: May 22, 2011

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-134-2

Location: Venice/Mestre, Italy

Dates: from May 22, 2011 to May 27, 2011