Deep Inspection of Unreachable BitTorrent Swarms

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  • YOSHIDA Masahiro
    Applied Computer Science Course, Interfaculty Initiative in Information Studies, Graudate School of Interdisciplinary Information Studies, The University of Tokyo
  • NAKAO Akihiro
    Applied Computer Science Course, Interfaculty Initiative in Information Studies, Graudate School of Interdisciplinary Information Studies, The University of Tokyo

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Abstract

BitTorrent is one of the most popular P2P file sharing applications worldwide. Each BitTorrent network is called a swarm, and millions of peers may join multiple swarms. However, there are many unreachable peers (NATed (network address translated), firewalled, or inactive at the time of measurement) in each swarm; hence, existing techniques can only measure a part of all the peers in a swarm. In this paper, we propose an improved measurement method for BitTorrent swarms that include many unreachable peers. In essence, NATed peers and those behind firewalls are found by allowing them to connect to our crawlers by actively advertising our crawlers' addresses. Evaluation results show that the proposed method increases the number of unique contacted peers by 112% compared to the conventional method. Moreover, the proposed method increases the total volume of downloaded pieces by 66%. We investigate the sampling bias among the proposed and conventional methods, and we find that different measurement methods yield significantly different results.

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