Hop Count Measurement Between Autonomous Systems Using a Combination of Active and Passive Monitoring

Nematullo Rahmatov, Hyeonwoo Kim, Meryam Essaid, Shuhration Qurbonov, Hongtaek Ju, Wooguil Pak
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引用次数: 1

Abstract

End-to-end Internet Quality of Service (QoS) is likely to rely on the hop count, the number of traversed routers. In this paper, we pose the results of the measurements of hop count from a source at Keimyung University towards several destinations spread over the world by using both active and passive measurements. In case of active data, we used traceroute base inferring to measure hops between host IP-addresses, while for passive data, we utilise shortest path approach from BGPview AS graph to infer exact hop count between ASes.
使用主动和被动监测相结合的自治系统之间的跳数测量
端到端互联网服务质量(QoS)很可能依赖于跳数,即穿越路由器的数量。在本文中,我们通过使用主动和被动测量,对来自启明大学的一个源对分布在世界各地的几个目的地的跳数进行了测量。在主动数据的情况下,我们使用traceroute基推断来测量主机ip地址之间的跳数,而对于被动数据,我们使用BGPview AS图中的最短路径方法来推断AS之间确切的跳数。
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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