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Prescriptive Analytics Based Committed Compute Reservation Stack for Cloud Computing Resource Scheduling
Prescriptive Analytics Based Committed Compute Reservation Stack for Cloud Computing Resource Scheduling
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机译:基于规范分析的承诺计算预留堆栈用于云计算资源调度
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摘要
A multi-layer committed compute reservation stack may generate prescriptive reservation matrices for controlling static reservation for computing resources. A transformation layer of the committed compute reservation stack may generate a time-mapping based on historical utilization and tagging data. An iterative analysis layer may determine a consumption-constrained committed compute state of a distribution of static reservation and dynamic requisition that achieves one or more consumption efficiency goals. Once the consumption-constrained committed compute state is determined, the prescriptive engine layer may generate a reservation matrix that may be used to control computing resource static reservation prescriptively.
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