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Experimental Study of Multi-Criteria Scheduling Heuristics for GridRPC Systems

Identifieur interne : 002100 ( Hal/Corpus ); précédent : 002099; suivant : 002101

Experimental Study of Multi-Criteria Scheduling Heuristics for GridRPC Systems

Auteurs : Yves Caniou ; Emmanuel Jeannot

Source :

RBID : Hal:inria-00100128

Descripteurs français

Abstract

We study in this paper several scheduling heuristics for GridRPC middlewares. When dealing with performance issue, the scheduling strategy is one of the most important feature. However, many heuristics implemented in available middlewares were not designed for this context (for instance MCT in NetSolve). Therefore, schedulers are not necessarily effective. We propose to use heuristics based on a non-intrusive module which is able to estimate the duration of all tasks in the system. Three criteria are examined among which the execution time of the application, e.g. the makespan. Experiments on a real platform show that the proposed heuristics outperform MCT for at least two of these three criteria.

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Hal:inria-00100128

Le document en format XML

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<title xml:lang="en">Experimental Study of Multi-Criteria Scheduling Heuristics for GridRPC Systems</title>
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<persName>
<forename type="first">Yves</forename>
<surname>Caniou</surname>
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<forename type="first">Emmanuel</forename>
<surname>Jeannot</surname>
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<term xml:lang="fr">time-shared and heterogeneous resources</term>
<term xml:lang="fr">dynamic scheduling heuristics</term>
<term xml:lang="fr">historical trace manager</term>
<term xml:lang="fr">completion dates estimations</term>
<term xml:lang="fr">heuristiques d'ordonnancement dynamique</term>
<term xml:lang="fr">gestionnaire de l'historique des tâches</term>
<term xml:lang="fr">estimation des dates de termianaison</term>
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<abstract xml:lang="en">We study in this paper several scheduling heuristics for GridRPC middlewares. When dealing with performance issue, the scheduling strategy is one of the most important feature. However, many heuristics implemented in available middlewares were not designed for this context (for instance MCT in NetSolve). Therefore, schedulers are not necessarily effective. We propose to use heuristics based on a non-intrusive module which is able to estimate the duration of all tasks in the system. Three criteria are examined among which the execution time of the application, e.g. the makespan. Experiments on a real platform show that the proposed heuristics outperform MCT for at least two of these three criteria.</abstract>
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