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Dynamic rack power provision to optimize rack power performance

机译:动态机架电源供应可优化机架电源性能

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Large data centers consume huge electricity every year. The power constraint is key factor for data center operator to increase rack server density, meanwhile a lot of provisioned power is reserved as the safe margin to handle the rarely peak power demand or power source failure, leading to considerable power under-utilization as well as implicated performance loss comparing to design target. This paper studied the problem of rack power utilization from internet data centers and analyzed approaches to optimize rack power utilization for the rack equipped with rack wide battery backup system. The dynamic rack power provision (DRPP) is proposed to address rack power under-utilization problem without expanding rack power capacity and an autonomous power control algorithm is discussed. By using power capacity locked in battery backup system to handle the sporadic power spike, the dynamic rack power provision is able to provision more servers into the rack by keeping no change of rack power budget. At last, this paper discussed the evaluation methodology and presented the experimental results, covering density improvement, performance impacts, and battery capability. The results showed 15%-25% utilization improvement for the experimental cloud workloads with the method proposed by this paper.
机译:大型数据中心每年消耗大量电力。功率限制是数据中心运营商增加机架服务器密度的关键因素,同时保留了许多预配置的功率作为安全余量,以处理极少的峰值功率需求或电源故障,从而导致相当多的功率利用率不足以及与设计目标相比会带来性能损失。本文研究了来自互联网数据中心的机架功耗问题,并分析了配备机架式宽备用电池系统的机架优化机架功耗的方法。提出了动态机架电源(DRPP)来解决机架电源利用率不足的问题,而又不扩展机架电源容量,并讨论了一种自治电源控制算法。通过使用锁定在备用电池系统中的电源容量来处理零星的电源高峰,动态机架电源供应可以通过保持机架电源预算不变而将更多服务器配置到机架中。最后,本文讨论了评估方法并给出了实验结果,涵盖了密度提高,性能影响和电池容量。结果表明,采用本文提出的方法,实验云工作负载的利用率提高了15 \\%-25 \\%。

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