Measuring throughput of data center network topologies
Measuring throughput of data center network topologies
复制标题
测量数据中心网络拓扑的吞吐量
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
A. Kolla
中科院分区：
文献类型：
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作者：
S. Jyothi;Ankit Singla;Brighten Godfrey;A. Kolla
高吞吐量是网络设计的基本目标。虽然已经提出了无数的网络拓扑来实现这一目标，特别是在数据中心和HPC网络中，但显然缺乏一致而准确的方法来评估设计的吞吐量性能并将其与过去的建议进行比较。在这项工作中，我们开发了一个框架来对网络拓扑的吞吐量进行基准测试，并应用该方法来揭示有关网络结构的见解。我们表明，尽管被广泛使用，基于切割的指标，如平分带宽是错误的指标：它们产生关于网络吞吐量性能的错误结论。因此，我们直接测量基于流量的吞吐量，并展示如何使用几乎最坏情况的流量矩阵评估拓扑。我们使用基于流量的吞吐量度量来比较各种计算机网络的吞吐量性能。我们免费提供了我们的评估框架，以促进未来网络的设计和评估工作。
High throughput is a fundamental goal of network design. While myriad network topologies have been proposed to meet this goal, particularly in data center and HPC networking, a consistent and accurate method of evaluating a design's throughput performance and comparing it to past proposals is conspicuously absent. In this work, we develop a framework to benchmark the throughput of network topologies and apply this methodology to reveal insights about network structure. We show that despite being commonly used, cut-based metrics such as bisection bandwidth are the wrong metrics: they yield incorrect conclusions about the throughput performance of networks. We therefore measure flow-based throughput directly and show how to evaluate topologies with nearly-worst-case traffic matrices. We use the flow-based throughput metric to compare the throughput performance of a variety of computer networks. We have made our evaluation framework freely available to facilitate future work on design and evaluation of networks.