Peeling the Power Onion of Data Centers

Yeo, Sungkap; Lee, Hsien-Hsin S.

doi:10.1007/978-1-4419-7124-1_3

Cited by 3 publications

(1 citation statement)

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“…影响制冷系统能效的因素众多, 除单独优化机柜间温度分布外, 部分研究者也考虑将影响制冷系统能效的因素整合在一起构建制冷代价优化模型 [15,18,20,24,25,32] , 通过负载调度的方式从整体上提升数据中心制冷系统能效. Yeo 等 [33] 对现代数据中心广泛使用的 HVAC 系统的能耗组成进行了剖析, 发现主要的耗能部件是冷却装置 (chiller) 以及驱动冷气为 CPU 等热源散热的风扇 (fan), 且二者的功耗占总 HVAC 系统的总功耗比均为 39%. 因此, 目前的节能研究主要针对这两个节能部件进行.…”

Section: 制冷代价优化unclassified

Research progress and development trend of cross-layer energy efficiency optimization in data centers

Wang¹,

Zhou²,

Liu³

et al. 2020

Sci. Sin.-Inf.

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Cross-layer optimization in ultra wideband networks Science in China Series F-Information Sciences 50, 760 (2007); Cross-layer transmission and energy scheduling under full-duplex energy harvesting wireless \\OFDM joint transmission SCIENCE CHINA Information Sciences 59, 102310 (2016); Cross-layer packet scheduling for downlink multiuser OFDM systems Science in China Series F-Information Sciences 52, 2369 (2009); Model-based cross-layer monitoring and adaptation of multilayer systems SCIENCE CHINA Information Sciences 56, 082101 (2013); Cross-layer design for cooperative MIMO systems with relay selection and imperfect CSI

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