Improved Runtime and Transfer Time Prediction Mechanisms in a Network Enabled Servers Middleware

Emmanuel Jeannot 1 Keith Seymour Asym Yarkhan Jack J. Dongarra
1 ALGORILLE - Algorithms for the Grid
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper we address the problem of accurately estimating the runtime and communication time of a client request in a Network Enabled Server (NES) middleware such as GridSolve. We use a template based model for the runtime estimation and a client-server communication test for the transfer time estimation. We implement these two mechanisms in GridSolve and test them on a real testbed. Experiments show that they allow for significant improvement in terms of client execution time on various scenarios.
Keywords : Grid computing Scheduling Performance prediction Parametric modeling
Type de document :
Article dans une revue
Parallel Processing Letters, World Scientific Publishing, 2007, 17 (1), pp.47 - 59. 〈10.1142/S0129626407002867〉
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https://hal.inria.fr/inria-00177526
Contributeur : Emmanuel Jeannot <>
Soumis le : lundi 8 octobre 2007 - 14:44:30
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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INRIA | LORIA | UNIV-LORRAINE

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Emmanuel Jeannot, Keith Seymour, Asym Yarkhan, Jack J. Dongarra. Improved Runtime and Transfer Time Prediction Mechanisms in a Network Enabled Servers Middleware. Parallel Processing Letters, World Scientific Publishing, 2007, 17 (1), pp.47 - 59. 〈10.1142/S0129626407002867〉. 〈inria-00177526〉

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