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Published Articles >> Table of Contents >> Abstract
International Parallel and Distributed Processing Symposium (IPDPS'03)
p. 276a
Performance Prediction and Its Use in Parallel and Distributed Computing Systems
Stephen A. Jarvis, University of Warwick
Daniel P. Spooner, University of Warwick
Helene N. Lim Choi Keung, University of Warwick
Graham R. Nudd, University of Warwick
Junwei Cao, NEC Europe Ltd.
Subhash Saini, NASA Ames Research Center
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2003.1213495
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| Abstract |
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A performance prediction framework is described in which predictive data generated by the PACE toolkit is stored and published through a Globus MDS-based performance information service. Distributing this data allows additional performance-based middleware tools to be built; this paper describes two such tools, a local-level scheduler and a system for wide-area task management. Experimental evidence shows that by integrating these performance tools for local- and wide-area management, considerable improvements can be made to task scheduling, resource utilisation and load balancing on heterogeneous distributed computing systems.
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 Additional Information
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Citation:
Stephen A. Jarvis, Daniel P. Spooner, Helene N. Lim Choi Keung, Graham R. Nudd, Junwei Cao, Subhash Saini,
"Performance Prediction and Its Use in Parallel and Distributed Computing Systems,"
ipdps,
p. 276a,
International Parallel and Distributed Processing Symposium (IPDPS'03),
2003
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