Understanding TCP cubic performance in the cloud: A mean-field approach

Sonia Belhareth, L. Sassatelli, D. Collange, Dino Lopez Pacheco, G. Urvoy-Keller
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引用次数: 10

Abstract

Cloud networking typically leads to scenarii where a large number of TCP connections share a common bottleneck link. In this paper, we focus on the case of TCP Cubic, which is the default TCP version in the Linux kernel. TCP Cubic is designed to better utilize high bandwidth-delay product path in an IP network. To do so, Cubic modifies the linear window growth function of legacy TCP standards, e.g., New Reno, to be a cubic function. Our objective in this work is to assess the performance of TCP Cubic in a cloud setting with a large number of long-lived TCP flows.We rely on a mean-field approach leading to a fluid model to analyze the performance of Cubic. After a careful validation of the model through comparisons with ns-2, we evaluate the efficiency and fairness of Cubic as compared to that of New Reno for a set of typical cloud networking scenarii.
理解云中的TCP立方性能:平均场方法
云组网通常会导致大量TCP连接共享一个公共瓶颈链路的场景。在本文中,我们主要关注TCP Cubic的情况,它是Linux内核中的默认TCP版本。TCP Cubic是为了更好地利用IP网络中的高带宽延迟产品路径而设计的。为此,Cubic修改了传统TCP标准(如New Reno)的线性窗口增长函数,使其成为三次函数。我们在这项工作中的目标是评估TCP Cubic在具有大量长期TCP流的云环境中的性能。我们依靠导致流体模型的平均场方法来分析Cubic的性能。通过与ns-2的比较对模型进行仔细验证后,我们评估了Cubic与New Reno在一组典型云网络场景下的效率和公平性。
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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