A pair-sampling constraint-programming scheduler (COSPiS) reduces peak CPU usage in a financial grid by up to 41.6% compared to manual scheduling while handling uncertainty in both job duration and CPU use.
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Capacity Planning and Scheduling for Jobs with Uncertainty in Resource Usage and Duration
A pair-sampling constraint-programming scheduler (COSPiS) reduces peak CPU usage in a financial grid by up to 41.6% compared to manual scheduling while handling uncertainty in both job duration and CPU use.