Efficient traffic flow measurement for ISP networks

Qinghua Wu, Zhenyu Li, Jianhua Yang, Gaogang Xie, Kave Salamatian
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Abstract

Traffic flow measurement is of great importance to ISPs for various network engineering tasks. An interesting problem is that how to determine the minimum number of links by monitoring which one can obtain the traffic flows of the whole ISP network. Previous works view the problem as Vertex Cover problem. They suffer from high time complexity and redundant monitoring. Different from these works, we study the problem from the perspective of edges and propose two models. The first model, Extended Edge Cover model, can determine the minimum set of monitored links, which are 30% less than that of previous works. The second model, shared-path model, is more suitable when the monitoring resources are limited but one still wants to measure a large part of the networks. Using this method, one can measure 85% of the network by monitoring 5% of links. Finally, we evaluate the performance of the two models through extensive simulations. The experimental results show the effectiveness and robustness of the two models.
针对ISP网络的高效流量测量
流量测量对网络服务提供商在各种网络工程任务中具有重要意义。一个有趣的问题是如何通过监控哪一条链路可以获得整个ISP网络的流量来确定最小的链路数。以前的工作将此问题视为顶点覆盖问题。它们遭受高时间复杂性和冗余监控的困扰。与这些作品不同的是,我们从边缘的角度来研究这个问题,并提出了两个模型。第一个模型,扩展边缘覆盖模型,可以确定最小的监测链路集,比以前的工作减少30%。第二种模型,即共享路径模型,更适用于监控资源有限但又想要测量大部分网络的情况。使用这种方法,可以通过监测5%的链接来测量85%的网络。最后,我们通过大量的仿真来评估两种模型的性能。实验结果表明了两种模型的有效性和鲁棒性。
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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