TAPO:服务器和数据中心的热感知电源优化技术

Wei Huang, Malcolm S. Allen-Ware, J. Carter, E. Elnozahy, H. Hamann, T. Keller, C. Lefurgy, Jian Li, K. Rajamani, J. Rubio
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引用次数: 69

摘要

数据中心的很大一部分功耗来自冷却。在数据中心和服务器的动态热管理机制中,通常静态和保守地选择热设定值,这在提高能源效率方面留下了很大的改进空间。在本文中,我们提出了两种相互补充的分层热感知功率优化技术,它们可以实现(i)在没有性能损失的情况下降低系统总体功率或(ii)在相同的功率预算下实现更高的性能。
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TAPO: Thermal-aware power optimization techniques for servers and data centers
A large portion of the power consumption of data centers can be attributed to cooling. In dynamic thermal management mechanisms for data centers and servers, thermal setpoints are typically chosen statically and conservatively, which leaves significant room for improvement in the form of improved energy efficiency. In this paper, we propose two hierarchical thermal-aware power optimization techniques that are complementary to each other and achieve (i) lower overall system power with no performance penalty or (ii) higher performance within the same power budget.
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