虚拟化数据中心配电

Di Wang, Chuangang Ren, A. Sivasubramaniam
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引用次数: 45

摘要

电力基础设施占数据中心支出的很大一部分。与偶尔的高峰相比,为高百分比的需求超额预订这种基础设施正变得更有吸引力。存在几个计算旋钮来限制在这种不足配置的容量范围内的功耗。最近,电池和其他能量存储设备被提议提供这些旋钮的补充替代方案,当分散(或分层放置)时,可以暂时承担负载以抑制向上传播的功率峰值。由于供应不足,电源层次结构就像其他计算资源一样成为数据中心的中心资源,因此必须跨应用程序仔细分配、隔离和管理该资源(包括电池)。为此,我们提出了一个虚拟配电软件系统vPower。vPower包括为每个应用程序提供虚拟权力层次结构的机制和策略。它利用传统的计算旋钮和电池来分配和管理层次结构中共存的应用程序之间的基础设施。vPower允许应用程序指定他们的电力需求,执行准入控制和放置,动态监控电力使用,并强制分配公平和系统效率。使用几个数据中心应用程序,以及包含两个级别电池的2级电源层次原型,我们展示了vPower在供应不足的电力基础设施中工作时的有效性,在正确的时间使用正确的计算旋钮和正确的电池。结果显示,与传统的功率封顶控制旋钮相比,vPower的超额预订提高了50%以上的系统利用率和可扩展性,应用程序性能提高了12-28%。它还确保了竞争电源的应用程序之间的隔离。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Virtualizing power distribution in datacenters
Power infrastructure contributes to a significant portion of datacenter expenditures. Overbooking this infrastructure for a high percentile of the needs is becoming more attractive than for occasional peaks. There exist several computing knobs to cap the power draw within such under-provisioned capacity. Recently, batteries and other energy storage devices have been proposed to provide a complementary alternative to these knobs, which when decentralized (or hierarchically placed), can temporarily take the load to suppress power peaks propagating up the hierarchy. With aggressive under-provisioning, the power hierarchy becomes as central a datacenter resource as other computing resources, making it imperative to carefully allocate, isolate and manage this resource (including batteries), across applications. Towards this goal, we present vPower, a software system to virtualize power distribution. vPower includes mechanisms and policies to provide a virtual power hierarchy for each application. It leverages traditional computing knobs as well as batteries, to apportion and manage the infrastructure between co-existing applications in the hierarchy. vPower allows applications to specify their power needs, performs admission control and placement, dynamically monitors power usage, and enforces allocations for fairness and system efficiency. Using several datacenter applications, and a 2-level power hierarchy prototype containing batteries at both levels, we demonstrate the effectiveness of vPower when working in an under-provisioned power infrastructure, using the right computing knobs and the right batteries at the right time. Results show over 50% improved system utilization and scale-out for vPower's over-booking, and between 12-28% better application performance than traditional power-capping control knobs. It also ensures isolation between applications competing for power.
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