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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:基于精确分析的云计算资源调度委托计算预留栈。
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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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