Scalable grid resource allocation for scientific workflows using hybrid metaheurstics
Buss, G., Lee, K. and Veit, D. (2010) Scalable grid resource allocation for scientific workflows using hybrid metaheurstics. In: 5th International Conference on Grid and Pervasive Computing (GPC 2010), 10 - 14 May, Hualien, Taiwan.
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Grid infrastructure is a valuable tool for scientific users, but it is characterized by a high level of complexity which makes it difficult for them to quantify their requirements and allocate resources. In this paper, we show that resource trading is a viable and scalable approach for scientific users to consume resources. We propose the use of Grid resource bundles to specify supply and demand combined with a hybrid metaheuristic method to determine the allocation of resources in a market-based approach. We evaluate this through the application domain of scientific workflow execution on the Grid.
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