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Performance prediction and its use in parallel and distributed computing systems

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3 Author(s)
Jarvis, S.A. ; High Performance Syst. Group, Univ. of Warwick, Coventry, UK ; Spooner, D.P. ; Nudd, G.R.

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; the 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.

Published in:

Parallel and Distributed Processing Symposium, 2003. Proceedings. International

Date of Conference:

22-26 April 2003