具有冷通道安全壳的数据中心节能运行的模型预测控制
Model predictive control for energy-efficient operation of data centers with cold aisle containments
摘要：
在本文中，我们研究的问题，控制冷却设施和计算设备的数据中心的节能操作。虽然在以前的文献中已经提出了过多的方法，但缺乏有效解决问题的严格方法。为了弥合这一差距，我们提出了MPC框架，共同优化调整计算机房空调（CRAC）提供的空气温度以及活动服务器的数量，以最大限度地减少整体能耗。我们特别发现，当使用具有包含的冷通道和冷却设施的数据中心的标准模型时，由MPC框架产生的最优化问题可以被转换为可以被有效地解决的凸优化问题。我们提出了几个数值模拟来说明我们的理论结果的有效性。
英文摘要：
In this paper, we study a problem of controlling cooling facilities and computational equipments for energy-efficient operations of data centers. Although a plethora of approaches have been proposed in previous literatures, there is a lack of rigorous methodologies for effectively addressing the problem. To bridge this gap, we propose MPC frameworks for jointly and optimally tuning the Computer Room Air Conditioner (CRAC) supplying air temperature as well as the number of active servers for minimizing the overall energy consumption. We specifically find that, when a standard model of data centers with contained cold aisles and cooling facilities are used, the optimization problems arising from the MPC framework can be transformed to convex optimization problems that can be solved efficiently. We present several numerical simulations to illustrate the effectiveness of our theoretical results.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
