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Modeling Demand Response Capability by Internet Data Centers Processing Batch Computing Jobs

机译:通过Internet数据中心处理批处理作业来建模需求响应能力

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摘要

Electricity cost has become a big concern of commercial cloud service providers with the rapid expansion of network-based cloud computing. Locationally, dispersed large-scale Internet data centers (IDCs) that underpin the cloud have increasing impact on the regional electricity market with their skyrocketing energy consumption. In this paper, the electricity market participation and accordingly the demand response capability of an IDC is defined as its temporally and spatially shiftable electricity demand quantities for processing delay-tolerant central processing unit-intense batch computing jobs. The demand response capability of the IDC is obtained by the proposed electric demand management solution. Price-sensitive and cooling efficiency-enabled batch computing workload dispatch with the objective of minimizing electricity cost is realized by dynamic IDC server consolidation and scheduling with virtual machine live migration technology. Numerical simulations show the effectiveness of the proposed demand management solution in IDC energy consumption and electricity cost reduction.
机译:随着基于网络的云计算的快速扩展,电力成本已成为商业云服务提供商的主要关注点。在位置上,支撑云的分散的大型Internet数据中心(IDC)的能源消耗激增,对区域电力市场的影响越来越大。在本文中,电力市场的参与以及相应的IDC的需求响应能力被定义为其在时间和空间上可移动的电力需求量,用于处理可容忍延迟的中央处理单元-密集批处理作业。 IDC的需求响应能力是通过提出的电力需求管理解决方案获得的。通过对IDC服务器进行动态合并并使用虚拟机实时迁移技术进行调度,可以实现以价格敏感和降温效率为目标的批处理工作量调度,从而将电费降至最低。数值仿真表明,所提出的需求管理解决方案在IDC能耗和电力成本降低方面是有效的。

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