Conference paper
Scalable grid resource allocation for scientific workflows using hybrid metaheurstics
5th International Conference on Grid and Pervasive Computing (GPC 2010) (Hualien, Taiwan, 10/05/2010–14/05/2010)
2010
Abstract
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.
Details
- Title
- Scalable grid resource allocation for scientific workflows using hybrid metaheurstics
- Authors/Creators
- G. Buss (Author/Creator)K. Lee (Author/Creator)D. Veit (Author/Creator)
- Conference
- 5th International Conference on Grid and Pervasive Computing (GPC 2010) (Hualien, Taiwan, 10/05/2010–14/05/2010)
- Identifiers
- 991005542044107891
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Conference paper
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