Improved runtime and transfer time prediction mechanisms in a network enabled servers middleware

Emmanuel Jeannot; Keith Seymour; Asym Yarkhan; Jack J. Dongarra

doi:10.1142/S0129626407002867

Improved runtime and transfer time prediction mechanisms in a network enabled servers middleware

Emmanuel Jeannot, Keith Seymour, Asym Yarkhan, Jack J. Dongarra

Research output: Contribution to journal › Article › peer-review

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 trannsfer 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.

Original language	English
Pages (from-to)	47-59
Number of pages	13
Journal	Parallel processing letters
Volume	17
Issue number	1
DOIs	https://doi.org/10.1142/S0129626407002867
State	Published - Mar 2007
Externally published	Yes

Keywords

Grid computing
Parametric modeling
Performance prediction
Scheduling

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10.1142/S0129626407002867

Cite this

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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 trannsfer 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.",

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AB - 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 trannsfer 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.

KW - Grid computing

KW - Parametric modeling

KW - Performance prediction

KW - Scheduling

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Improved runtime and transfer time prediction mechanisms in a network enabled servers middleware

Abstract

Keywords

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