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    Chapter and Conference Paper

    Stochastic Programming Approach for Resource Selection Under Demand Uncertainty

    Cost-efficient selection and scheduling of a subset of geographically distributed resources to meet the demands of a scientific workflow is a challenging problem. The problem is exacerbated by uncertainties in...

    Tanveer Hossain Bhuiyan… in Job Scheduling Strategies for Parallel Pro… (2019)

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    Chapter and Conference Paper

    Towards Efficient Resource Allocation for Distributed Workflows Under Demand Uncertainties

    Scheduling of complex scientific workflows on geographically distributed resources is a challenging problem. Selection and scheduling of a subset of available resources to meet a given demand in a cost efficie...

    Ryan D. Friese, Mahantesh Halappanavar… in Job Scheduling Strategies for Parallel Pro… (2018)