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Showing 1 to 1 of 1 for “"Data intensive workflow"”.

  1. Data-aware workflow scheduling in heterogeneous distributed systems

    Data transferring in scientific workflows gradually attracts more attention due to large amounts of data generated by complex scientific workflows will significantly increase the turnaround time of the whole workflow. It is almost impossible to make an optimal or approximate optimal scheduling for …

    lsu-thes Repository record for Data-aware workflow scheduling in heterogeneous distributed systems (opens in a new tab)