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Unraveling the BitTorrent Ecosystem

机译:揭开BitTorrent生态系统的面纱

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摘要

BitTorrent is the most successful open Internet application for content distribution. Despite its importance, both in terms of its footprint in the Internet and the influence it has on emerging P2P applications, the BitTorrent Ecosystem is only partially understood. We seek to provide a nearly complete picture of the entire public BitTorrent Ecosystem. To this end, we crawl five of the most popular torrent-discovery sites over a ine-month period, identifying all of 4.6 million and 38,996 trackers that the sites reference. We also develop a high-performance tracker crawler, and over a narrow window of 12 hours, crawl essentially all of the public Ecosystem's trackers, obtaining peer lists for all referenced torrents. Complementing the torrent-discovery site and tracker crawling, we further crawl Azureus and Mainline DHTs for a random sample of torrents. Our resulting measurement data are more than an order of magnitude larger (in terms of number of torrents, trackers, or peers) than any earlier study. Using this extensive data set, we study in-depth the Ecosystem's torrent-discovery, tracker, peer, user behavior, and content landscapes. For peer statistics, the analysis is based on one typical snapshot obtained over 12 hours. We further analyze the fragility of the Ecosystem upon the removal of its most important tracker service.
机译:BitTorrent是最成功的用于内容分发的开放式Internet应用程序。尽管它很重要,无论是在Internet上的足迹还是对新兴的P2P应用的影响,都只能部分了解BitTorrent生态系统。我们力求提供整个公共BitTorrent生态系统的近乎完整的图片。为此,我们在一个月内对五个最受欢迎的洪流发现站点进行了爬网,确定了这些站点所引用的460万个跟踪器和38996个跟踪器。我们还开发了一种高性能的跟踪器搜寻器,并且在12小时的狭窄时间内,对所有公共生态系统的跟踪器进行了搜寻,从而获得了所有引用的种子的对等列表。作为对洪流发现站点和跟踪器爬网的补充,我们进一步对Azureus和Mainline DHT进行爬网,以获取洪流的随机样本。我们得到的测量数据(按洪流,跟踪器或同伴数量)比任何先前的研究大一个数量级。使用这个广泛的数据集,我们深入研究了生态系统的洪流发现,跟踪器,同伴,用户行为和内容格局。对于同级统计,该分析基于12个小时内获得的一张典型快照。我们将在删除最重要的跟踪器服务后进一步分析生态系统的脆弱性。

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