P2P TV在线用户的时空分布研究  

Research on temporal and spatial distribution of online users in P2P TV

作　　者：姜志宏[1] 王晖[1] 黄兵 李沛[1] 樊鹏翼[1] 

机构地区：[1]国防科学技术大学信息系统与管理学院,长沙410073 [2]总后勤部建筑设计研究院,北京100036

出　　处：《计算机应用》2012年第7期2022-2026,共5页journal of Computer Applications

基　　金：国家863计划项目(2008AA01Z407)

摘　　要：针对P2P TV在线用户的匿名性和高度动态性,设计和部署了P2P TV爬行器——TVCrawler对主流的大规模P2P IPTV系统进行主动测量,对比研究了不同P2P TV系统中在线人数的时间演化和地理分布规律。首先,对在线用户数量的在时间上的演化规律进行了直观分析,并通过多尺度熵方法研究了在线用户人数时间序列的复杂性;其次,研究了在线用户在地理空间分布上的分布特点和规律,并对用户的地理分布进行了可视化展现;最后还研究了各省级行政区内的频道在线用户与当地经济发展水平的关系,发现二者之间存在较为显著的线性递减关系。Direct towards anonymity and high dynamic of online user in P2P TV,a P2P TV crawler,called TVCrawler was developed and deployed which enabled to launch an active measurement on several popular large scale P2P TV systems.The authors conducted a comparative research on time evolution and geographic distribution of online users in these different P2P TV systems.First,while intuitively researching the time evolution of online users in P2P TV channel,the method of MultiScale Entropy（MSE） analysis was introduced to investigate the complexity in time series of the number of online users.Second,the authors made a study on the regular pattern of online users＇ geographic distribution,and made a Google map-based visual representation about online users.Then,by analyzing the relationship between geographic distribution of online Chinese users and provincial economic development level of China,it is discovered that significant linear decreasing correlation exists between the two of them.

关 键 词：P2P网络电视 网络测量 用户行为 时空分布 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]