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首页> 外文期刊>Proceedings of the IEEE >A Cyber–Physical Systems Approach to Data Center Modeling and Control for Energy Efficiency
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A Cyber–Physical Systems Approach to Data Center Modeling and Control for Energy Efficiency

机译:数据中心建模和控制的网络物理系统方法,以提高能源效率

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摘要

This paper presents data centers from a cyber–physical system (CPS) perspective. Current methods for controlling information technology (IT) and cooling technology (CT) in data centers are classified according to the degree to which they take into account both cyber and physical considerations. To evaluate the potential impact of coordinated CPS strategies at the data center level, we introduce a control-oriented model that represents the data center as two coupled networks: a computational network representing the cyber dynamics and a thermal network representing the physical dynamics. These networks are coupled through the influence of the IT on both networks: servers affect both the quality of service (QoS) delivered by the computational network and the generation of heat in the thermal network. Using this model, three control strategies are evaluated with respect to their energy efficiency and computational performance: a baseline strategy that ignores CPS considerations, an uncoordinated strategy that manages the IT and CT independently, and a coordinated strategy that manages the IT and CT together to achieve optimal performance with respect to both QoS and energy efficiency. Simulation results show that the benefits to be realized from coordinating the control of IT and CT depend on the distribution and heterogeneity of the computational and cooling resources throughout the data center. A new cyber–physical index (CPI) is introduced as a measure of this combined distribution of cyber and physical effects in a given data center. We illustrate how the CPI indicates the potential impact of using coordinated CPS control strategies.
机译:本文从网络物理系统(CPS)的角度介绍了数据中心。数据中心中用于控制信息技术(IT)和冷却技术(CT)的当前方法是根据它们同时考虑网络和物理因素的程度进行分类的。为了评估协调的CPS策略在数据中心级别的潜在影响,我们引入了一个面向控制的模型,该模型将数据中心表示为两个耦合网络:代表网络动态的计算网络和代表物理动态的热网络。这些网络是通过IT对两个网络的影响而耦合在一起的:服务器既影响计算网络提供的服务质量(QoS),也影响热网络中的热量产生。使用该模型,针对其能效和计算性能评估了三种控制策略:忽略CPS考虑因素的基线策略,独立管理IT和CT的不协调策略以及一起管理IT和CT的协调策略以实现以下目标:在QoS和能效方面均达到最佳性能。仿真结果表明,协调IT和CT的控制所要实现的收益取决于整个数据中心中计算和冷却资源的分布和异构性。引入了新的网络物理指数(CPI),以衡量给定数据中心中网络和物理效应的组合分布。我们将说明CPI如何显示使用协调的CPS控制策略的潜在影响。

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