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Dynamic Right-Sizing for Power-Proportional Data Centers

机译:功率比例数据中心的动态权限大小调整

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Power consumption imposes a significant cost for data centers implementing cloud services, yet much of that power is used to maintain excess service capacity during periods of low load. This paper investigates how much can be saved by dynamically “right-sizing” the data center by turning off servers during such periods and how to achieve that saving via an online algorithm. We propose a very general model and prove that the optimal offline algorithm for dynamic right-sizing has a simple structure when viewed in reverse time, and this structure is exploited to develop a new “lazy” online algorithm, which is proven to be 3-competitive. We validate the algorithm using traces from two real data-center workloads and show that significant cost savings are possible. Additionally, we contrast this new algorithm with the more traditional approach of receding horizon control.
机译:功耗为实施云服务的数据中心带来了巨大的成本,但其中的大部分功率用于在低负载期间维持多余的服务容量。本文研究了通过在此期间关闭服务器来动态“正确调整”数据中心的大小可以节省多少,以及如何通过在线算法来实现节省。我们提出了一个非常通用的模型,并证明了当反向查看时,用于动态权限大小调整的最佳离线算法具有简单的结构,并且利用该结构来开发新的“惰性”在线算法,事实证明该算法是3-竞争的。我们使用来自两个实际数据中心工作负载的跟踪来验证算法,并表明可以节省大量成本。此外,我们将该新算法与后退水平控制的更传统方法进行了对比。

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