Title :
Inferring Client Distribution by Using Dyad BitTorrent Network Data
Author :
Liu, Yao ; Liu, Qiao ; Wang, Yong ; Qin, Zhiguang
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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 Bit Torrent clients. We implement a Bit Torrent crawler to collect data from trackers and peers, and statistically analyze it to understand the characteristics and behaviors of the Bit Torrent protocol better.
Keywords :
peer-to-peer computing; protocols; statistical analysis; BitTorrent crawler; BitTorrent protocol; Dyad BitTorrent network data; P2P protocol; client distribution inference; file sharing algorithm; peer-to-peer protocol; statistical analysis; Atmospheric measurements; Crawlers; IP networks; Indexes; Particle measurements; Peer to peer computing; Protocols; BitTorrent; client; distribution; messages; proprotion;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.250
