The impact of predictive inaccuracies on execution scheduling
Performance Evaluation - Performance modelling and evaluation of high-performance parallel and distributed systems
Cross-Platform Performance Prediction of Parallel Applications Using Partial Execution
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Middleware Support for Performance Improvement of MABS Applications in the Grid Environment
Multi-Agent-Based Simulation VIII
Scheduling jobs on computational grid using differential evolution algorithm
ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing
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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 computingsystems.