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Fixing Ally's Growing Pains with Velocity Modeling

机译:用速度建模固定盟友生长的痛苦

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Mapping the router topology is an important component of Internet measurement. Alias resolution, the process of mapping IP addresses to routers, is critical to accurate Internet mapping. Ally, a popular alias resolution tool, was developed to resolve aliases in individual ISPs, but its probabilistic accuracy and need to send O(n~(2)) probes to infer aliases among n IP addresses make it unappealing for large-scale Internet mapping. In this paper, we present RadarGun, a tool that uses IP identifier velocity modeling to improve the accuracy and scalability of the Ally-based resolution technique. We provide analytical bounds on Ally's accuracy and validate our predicted aliases against Ally. Additionally, we show that velocity modeling requires only O(n) probes and thus scales to Internet-sized mapping efforts.
机译:映射路由器拓扑是互联网测量的重要组成部分。别名分辨率,将IP地址映射到路由器的过程,对于准确的Internet映射至关重要。 Ally是一个受欢迎的别名解析工具,以解决个别ISP中的别名,但它的概率准确性,并且需要发送O(n〜(2))探针在N个IP地址中推断出来的别名使其无法实现大型互联网映射。在本文中,我们提供了一种raidargun,一种使用IP标识符速度建模的工具来提高基于盟友的分辨率技术的准确性和可扩展性。我们在盟友的准确性上提供分析范围,并验证我们对盟友的预测别名。此外,我们表明速度建模只需要O(n)探针,从而缩放到互联网大小的映射工作。

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