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A Delay-Based Analysis of Multiple Bottleneck Links of End-to-End Paths in the Internet

机译:基于互联网端到端路径的多个瓶颈链路的延迟分析

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Measurement and analysis of bottleneck links play an important role in improving the network quality of service (QoS) and preventing network attacks in the Internet. Existing methods usually treat the link with the smallest available bandwidth or the largest delay as the bottleneck link, without considering multiple bottleneck links in an end-to-end path. In this paper, we propose a new approach to measure and analyze bottleneck links based on path delay. We design a parallel active measurement framework to measure the path delays of many destinations simultaneously. Then an algorithm to identify multiple bottleneck links is proposed using the Ward data clustering method. Experiments are conducted to test the algorithm by measuring 10 different destinations in the Internet for 14 days. Using the proposed approach, we have found that bottleneck links are mainly few constant links which are in the intermediate of end-to-end paths or near the destinations. Furthermore, the results have shown that the number of intra-domain bottleneck links takes a large portion in most cases, which hints that the performance of end-to-end paths may be greatly influenced by iBGP routing. Besides, the results have also demonstrated that the intercontinental links in an anonymous system (AS) incline to be bottleneck links in end-to-end paths.
机译:瓶颈链路的测量和分析在提高服务网络质量(QoS)并防止互联网中的网络攻击方面发挥着重要作用。现有方法通常将具有最小可用带宽或最大延迟的链接视为瓶颈链路,而不考虑端到端路径中的多个瓶颈链路。在本文中,我们提出了一种新的方法来衡量和分析基于路径延迟的瓶颈链路。我们设计了一个并行主动测量框架,以同时测量许多目的地的路径延迟。然后使用Ward数据聚类方法提出了一种识别多个瓶颈链路的算法。进行实验以通过在互联网中测量10个不同的目的地来测试算法14天。使用所提出的方法,我们发现瓶颈链接主要是几乎没有恒定的链接,这些链接在端到端路径的中间或接近目的地。此外,结果表明,在大多数情况下,域内瓶颈链路的数量需要大部分,这提示了端到端路径的性能可能受到IBGP路由的大大影响。此外,结果还证明了匿名系统中的洲际链接(AS)倾斜为端到端路径中的瓶颈链路。

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