Inferring Client Distribution By Using Dyad BitTorrent Network Data
Previous studies of P2P protocols mainly focus on its file sharing algorithm, and many relevant aspects of the protocols remain untouched. In the thesis, we conduct a number of experiments to explore the versions proportion and geographical distribution of the BitTorrent clients. We implement a BitTorrent crawler to collect data from trackers and peers, and statistically analyze it to understand the characteristics and behaviors of the BitTorrent protocol better.
Bit Torrent proprotion distribution client messages
Yao Liu Qiao Liu Yong Wang Zhiguang Qin
Department of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu, China
国际会议
杭州
英文
615-619
2012-03-23(万方平台首次上网日期,不代表论文的发表时间)