TCP Throughput Achieved by a Folded Clos Network Controlled by Different Flow Diffusion Algorithms

S. Ohta
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引用次数: 3

Abstract

A folded Clos network (FCN) is the topology often used for data center networks. Its performance depends on the flow diffusion algorithm executed at the input/output switches. Several algorithms that diffuse flows more equally between links than conventional random routing have been proposed in the past. It is expected that those algorithms prevent the TCP (transmission control protocol) throughput from decreasing due to traffic congestion. However, it is unclear whether these flow diffusion algorithms are significantly effective for avoiding throughput degradation of a TCP flow compared with conventional random routing. This paper investigates the effectiveness of flow diffusion algorithms for TCP throughput through packet-level computer simulation. The results confirm that flow diffusion algorithms can efficiently reduce the number of TCP flows, the throughputs of which are degraded.
由不同流量扩散算法控制的折叠Clos网络实现TCP吞吐量
折叠Clos网络(FCN)是数据中心网络常用的拓扑结构。其性能取决于在输入/输出开关处执行的流扩散算法。过去已经提出了几种算法,这些算法比传统的随机路由在链路之间更均匀地扩散流量。期望这些算法能够防止TCP(传输控制协议)吞吐量因流量拥塞而降低。然而,与传统的随机路由相比,这些流量扩散算法是否能有效地避免TCP流的吞吐量下降还不清楚。本文通过包级计算机仿真研究了流量扩散算法对TCP吞吐量的有效性。结果表明,流扩散算法可以有效地减少TCP流的数量,降低TCP流的吞吐量。
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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