Evaluation of reallocation heuristics for moldable tasks in computational grids
AusPDC '11 Proceedings of the Ninth Australasian Symposium on Parallel and Distributed Computing - Volume 118
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In this paper, we study the impact of task reallocations/migrations on a Grid platform, composed of parallel resources, each supervised by a batch scheduler. Results of simulations using real life traces show that gains of 40% can be attained on the average waiting time of jobs even if tasks are initially mapped by a meta-scheduler on the cluster giving the best completion time.