A throughput-centric view of the performance of datacenter topologies

Pooria Namyar, Sucha Supittayapornpong, Mingyang Zhang, Minlan Yu, R. Govindan
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引用次数: 16

Abstract

While prior work has explored many proposed datacenter designs, only two designs, Clos-based and expander-based, are generally considered practical because they can scale using commodity switching chips. Prior work has used two different metrics, bisection bandwidth and throughput, for evaluating these topologies at scale. Little is known, theoretically or practically, how these metrics relate to each other. Exploiting characteristics of these topologies, we prove an upper bound on their throughput, then show that this upper bound better estimates worst-case throughput than all previously proposed throughput estimators and scales better than most of them. Using this upper bound, we show that for expander-based topologies, unlike Clos, beyond a certain size of the network, no topology can have full throughput, even if it has full bisection bandwidth; in fact, even relatively small expander-based topologies fail to achieve full throughput. We conclude by showing that using throughput to evaluate datacenter performance instead of bisection bandwidth can alter conclusions in prior work about datacenter cost, manageability, and reliability.
以吞吐量为中心的数据中心拓扑性能视图
虽然以前的工作已经探索了许多提出的数据中心设计,但只有两种设计,基于clos和基于扩展器的设计,通常被认为是实用的,因为它们可以使用商用交换芯片进行扩展。先前的工作使用了两种不同的度量,二分带宽和吞吐量,用于大规模评估这些拓扑结构。无论从理论上还是在实践中,我们都不知道这些指标是如何相互关联的。利用这些拓扑的特点,我们证明了它们的吞吐量的上界,然后表明这个上界比所有以前提出的吞吐量估计器更好地估计最坏情况吞吐量,并且比大多数它们更好地扩展。使用这个上界,我们表明,对于基于扩展器的拓扑,与Clos不同,超过一定的网络大小,没有拓扑可以具有完全的吞吐量,即使它具有完全的二分带宽;事实上,即使是相对较小的基于扩展器的拓扑也无法实现完全吞吐量。我们的结论是,使用吞吐量来评估数据中心性能而不是平分带宽可以改变先前关于数据中心成本、可管理性和可靠性的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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