Joint Optimization of Computing and Cooling Energy: Analytic Model and a Machine Room Case Study

Shen Li, H. Le, N. Pham, Jin Heo, T. Abdelzaher
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引用次数: 40

Abstract

Total energy minimization in data centers (including both computing and cooling energy) requires modeling the interactions between computing decisions (such as load distribution) and heat transfer in the room, since load acts as heat sources whose distribution in space affects cooling energy. This paper presents the first closed-form analytic optimal solution for load distribution in a machine rack that minimizes the sum of computing and cooling energy. We show that by considering actuation knobs on both computing and cooling sides, it is possible to reduce energy cost comparing to state of the art solutions that do not offer holistic energy optimization. The above can be achieved while meeting both throughput requirements and maximum CPU temperature constraints. Using a thorough evaluation on a real test bed of 20 machines, we demonstrate that our simple model adequately captures the thermal behavior and energy consumption of the system. We further show that our approach saves more energy compared to the state of the art in the field.
计算和冷却能量的联合优化:分析模型和机房实例研究
数据中心的总能量最小化(包括计算能量和冷却能量)需要对计算决策(如负荷分布)和室内传热之间的相互作用进行建模,因为负荷作为热源,其在空间中的分布影响冷却能量。本文首次提出了计算能量和冷却能量之和最小的机架负载分配的封闭式解析最优解。我们表明,通过考虑计算和冷却方面的驱动旋钮,与不提供整体能源优化的最先进解决方案相比,有可能降低能源成本。在满足吞吐量要求和最大CPU温度限制的情况下,可以实现上述目标。通过对20台机器的真实测试平台进行全面评估,我们证明了我们的简单模型充分捕捉了系统的热行为和能耗。我们进一步表明,与该领域的最先进技术相比,我们的方法节省了更多的能源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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