大规模网络中BitTorrent流行为分析  

Analysis of BitTorrent flow behavior on large-scale networks

作　　者：陈亮[1] 龚俭[2] 

机构地区：[1]东南大学计算机科学与工程学院,南京210096 [2]江苏省计算机网络技术重点实验室,南京210096

出　　处：《东南大学学报（自然科学版）》2008年第3期390-395,共6页Journal of Southeast University：Natural Science Edition

基　　金：国家重点基础研究发展计划(973计划)资助项目(2003CB314804);教育部科学技术重点研究资助项目(105084);江苏省网络与信息安全重点实验室资助项目(BM2003201)

摘　　要：在使用基于特征串方法准确采集国内最流行的P2P应用——BitTorrent应用流量的基础上,研究了BitTorrent应用的流长、流持续时间、流速以及端结点传输的流量、连接数等测度的分布,并分析了各分布中的异常情况.分析结果表明:BitTorrent应用流量已占网络总流量的60%;BitTorrent平均流长超过总体TCP流长的20倍;流长、流持续时间均服从Weibull分布,且二者行为相似;BitTorrent平均流速低于总体TCP流速,但随着流长的增长流速增快;BitTorrent网络有很强的不平衡性,约1%的结点贡献了80%的流量和连接数.A trace of BitTorrent application traffic, which is the most popular P2P（peer-to-peer） application in China, is accurately captured using payload-based method. Based on this trace, the distributions of BitTorrent flow length, flow duration, flow rate, the nodes＇ traffic volume and number of connections are studied, and the unusual circumstances of these distributions are analyzed. The re- suits show that BitTorrent application traffic account for 60% of the total traffic volume. The average flow length of BitTorrent application is 20 times longer than that of overall TCP flow. The distributions of the flow length and flow duration approximately accord with the Weibull distributions, and their behaviors are similar. The average flow rate is less than overall TCP flow; however with the flow length increases, the flow rate becomes faster. The BitTorrent network presents a strong imbalance, about 1% of the nodes contribute 80% of the total volume and connections.

关 键 词：大规模网络 P2P BITTORRENT 流行为 流测度 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]