林凯, 王潇斌, 石碧, 杨哲. 基于CCP模型的BitTorrent集群测量研究[J]. 微电子学与计算机, 2012, 29(11): 134-137.
引用本文: 林凯, 王潇斌, 石碧, 杨哲. 基于CCP模型的BitTorrent集群测量研究[J]. 微电子学与计算机, 2012, 29(11): 134-137.
LIN Kai, WANG Xiao-bin, SHI Bi, YANG Zhe. Measurements on BitTorrent Swarms Based on CCP Model[J]. Microelectronics & Computer, 2012, 29(11): 134-137.
Citation: LIN Kai, WANG Xiao-bin, SHI Bi, YANG Zhe. Measurements on BitTorrent Swarms Based on CCP Model[J]. Microelectronics & Computer, 2012, 29(11): 134-137.

基于CCP模型的BitTorrent集群测量研究

Measurements on BitTorrent Swarms Based on CCP Model

  • 摘要: 对P2P集群的测量与分析,有助于理解其现状及演变规律,从而对其进行优化和管理.根据赠券收集模型的一般原理并进行了优化,设计实现了一种主动测量方法及平台,可用较少的主机对全球BitTorrent集群开展持续的主动测量.该方法能在短时间内,获取每个集群中超过90%的在线节点,同时对网络本身的影响较小.在近9个月的实验中,分别测量了从Torrentz获取的3万多个BT集群.结果表明BT集群中的节点分布具有明显的地域性,而且国内外用户在客户端和端口使用上具有明显的偏好.

     

    Abstract: Detecting the P2P swarm, analyzing their distribution is a challenging task, which has not received the deserved attention.We used active measurement methodology to continuously trace the real-world BitTorrent swarms over the Internet from a stub network for a long period of time.Our measurements achieved the ability of real-time scanning the online peers, avoiding the potential copyright infringement and heavy traffic on Internet.During the over eight-month measurements, from July 15 2010 to March 31 2011, we crawled 33, 008 swarms, collected 8, 963, 776 distinct peers.Then we analyzed the distributions and preferences of peers.We find that the geographical distribution of peers in all swarms span quite universally.And there are some quite differences in the preferences between the users in and outside China.

     

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