Matches in SemOpenAlex for { <https://semopenalex.org/work/W2119352128> ?p ?o ?g. }
- W2119352128 abstract "Many scientists perform extensive computations by executing large bags of similar tasks (BoTs) in mixtures of computational environments, such as grids and clouds. Although the reliability and cost may vary considerably across these environments, no tool exists to assist scientists in the selection of environments that can both fulfill deadlines and fit budgets. To address this situation, we introduce the Expert BoT scheduling framework. Our framework systematically selects from a large search space the Pareto-efficient scheduling strategies, that is, the strategies that deliver the best results for both make span and cost. Expert chooses from them the best strategy according to a general, user-specified utility function. Through simulations and experiments in real production environments, we demonstrate that Expert can substantially reduce both make span and cost in comparison to common scheduling strategies. For bioinformatics BoTs executed in a real mixed grid + cloud environment, we show how the scheduling strategy selected by Expert reduces both make span and cost by 30%-70%, in comparison to commonly-used scheduling strategies." @default.
- W2119352128 created "2016-06-24" @default.
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- W2119352128 date "2012-05-01" @default.
- W2119352128 modified "2023-10-18" @default.
- W2119352128 title "ExPERT: Pareto-Efficient Task Replication on Grids and a Cloud" @default.
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- W2119352128 doi "https://doi.org/10.1109/ipdps.2012.25" @default.
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