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Inferring the average as path length of the Internet

机译:推断平均值作为互联网的路径长度

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摘要

The average path length of the Internet autonomous system (AS) level topology was decreasing slightly in the last decade. Researches had shown that the average AS path length of the Internet was about 3.9 hops until 2012. However this inference was based on BGP routing tables collected from some vantage points that cannot cover the whole Internet. Researchers had also developed different methods to infer AS paths of the Internet, the easiest method considered the shortest paths as AS paths, but the reality is the ASes have self-defined routing policies which lead to a longer path than the shortest path. Other methods improved the inference accuracy. But they were also time consuming and difficult to be used in large scale. To explore the average AS path length of the Internet, we developed a new method to infer AS paths in a comparatively complete AS level topology. The core of this method was a path decision algorithm that simulated the packet transiting process for each AS in the Internet. The inference paths generated from this method were called as decision paths. The experimental results indicated that the decision paths were close to the actual AS paths especially for the path length distribution. At last, we discussed the effect of the incompleteness of peering links in the topology and inferred the average AS path length of the whole Internet using decision paths.
机译:互联网自治系统(AS)级拓扑的平均路径长度在过去十年中略微下降。研究表明,直到2012年互联网的路径长度的平均值约为3.9跳。但是,此推断是基于从一些无法覆盖整个互联网的有利同点收集的BGP路由表。研究人员还开发了不同的方法来推断因特网的路径,最简单的方法被认为是作为路径的最短路径,但现实是ases具有自定义路由策略,这导致了比最短路径更长的路径。其他方法提高了推理准确性。但它们也耗时,难以大规模使用。为了探索互联网的路径长度的平均值,我们开发了一种推出作为级别拓扑相对完整的路径的新方法。该方法的核心是一种路径决策算法,其模拟了互联网中的每个分组转运过程。从该方法生成的推理路径称为决策路径。实验结果表明,决策路径接近实际的路径,特别是对于路径长度分布。最后,我们讨论了对拓扑中的凝视链接的不完整性的效果,并使用决策路径推断平均作为整个互联网的路径长度。

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