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Due to the complexity of scientific processes, computing and storage resources in a scientific workflow are often needed on an uneven basis, thus, the demand of resources is elastically changing during a run of a workflow. Most existing workflow scheduling algorithms only consider a computing environment in which the number of compute resources is bounded. Resources assigned to a workflow cannot be...
Most existing workflow scheduling algorithms only consider a computing environment in which the number of compute resources is bounded. Compute resources in such an environment usually cannot be provisioned or released on demand of the size of a workflow, and these resources are not released to the environment until an execution of the workflow completes. To address the problem, we firstly formalize...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.