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Modèles comportementaux de la grille : enjeux et exemples

Cecile Germain-Renaud 1, 2
1 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : Grid research and engineering require behavioral models of its use and middleware. These models must be inferred from the data, through Machine Learning. Technology and usages of Grids and Clouds change rapidly, challenging analysis and evaluation. We summarize two of these challenges and present new methods for addressing them.

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Submitted on : Friday, October 14, 2011 - 12:38:20 PM
Last modification on : Thursday, July 8, 2021 - 3:48:19 AM
Long-term archiving on: : Sunday, January 15, 2012 - 2:21:58 AM


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  • HAL Id : inria-00632438, version 1



Cecile Germain-Renaud. Modèles comportementaux de la grille : enjeux et exemples. Premières journées scientifiques France-Grilles, Sep 2011, Lyon, France. ⟨inria-00632438⟩



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