Brokering strategies in computational grids using stochastic prediction models

Vandy Berten 1 Bruno Gaujal 2
2 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : In this paper we propose a new routing policy to route jobs to clusters in computational grids. This routing policy is based on index tables computed at each cluster. These tables can be computed off-line or on-line. Their computations use predictions about the average future behavior of the grid. We show how can be used in practice for task allocations in computational grids. We also report numerous simulations providing numerical evidence of the efficiency of our index routing policy compared with the classical brokers used in most production grids today.
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Article dans une revue
Parallel Computing, Elsevier, 2007, 33 (4-5), pp.238-249. 〈10.1016/j.parco.2007.02.013〉
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Contributeur : Ist Rennes <>
Soumis le : lundi 2 avril 2012 - 14:58:01
Dernière modification le : jeudi 11 janvier 2018 - 06:21:39

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Vandy Berten, Bruno Gaujal. Brokering strategies in computational grids using stochastic prediction models. Parallel Computing, Elsevier, 2007, 33 (4-5), pp.238-249. 〈10.1016/j.parco.2007.02.013〉. 〈hal-00684555〉

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