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Internet上的流媒体特性及用户访问行为研究
引用本文:蔡青松,李子木,胡建平.Internet上的流媒体特性及用户访问行为研究[J].北京航空航天大学学报,2005,31(1):25-30.
作者姓名:蔡青松  李子木  胡建平
作者单位:1. 北京航空航天大学 计算机学院, 北京 100083;
2. 清华大学 络中心, 北京 100084
基金项目:国家自然科学基金资助项目 ( 60 10 3 0 0 5 )
摘    要:通过跟踪CERNET中典型流媒体服务器日志,分析了流媒体特性和用户访问行为,为在Internet上通过内容分送网络(CDN)高效分送流媒体内容及流代理服务器的仿真与设计提供实验依据.结果表明:流对象大小和播放持续时间较好地符合对数正态分布,平均位速率呈"双峰"变化特性;对流媒体的访问呈现出比Zipf分布更强烈的偏向性;请求具有定域性,其是由对文件排列中的前若干文件的频繁访问所造成,这些请求间具有较强时间相关性.指出了上述结论对仿真、设计和实现流媒体缓存代理服务器的意义.

关 键 词:时间相关  定域性  流媒体  Zipf分布  偏向性
文章编号:1001-5965(2005)01-0025-06
收稿时间:2003-08-14
修稿时间:2003年8月14日

Study on characterizing streaming media and user access to media on the Internet
Cai Qingsong,Li Zimu,Hu Jianping.Study on characterizing streaming media and user access to media on the Internet[J].Journal of Beijing University of Aeronautics and Astronautics,2005,31(1):25-30.
Authors:Cai Qingsong  Li Zimu  Hu Jianping
Institution:1. School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China;
2. CERNET Center, Tsinghua University, Beijing 100084, China
Abstract:Through tracing the log data of four typical streaming servers of CERNET, the characteristics of streaming media and its access pattern to attempt to give evidence of the key component design or simulation in streaming system such as streaming proxy in CDN were analyzed. The results show that the size and playback duration of media files fit the lognormal distribution well but the average bit rate varies in a "bi-peak" model; references to streaming media present stronger skew popularity than Zipf distribution; temporal locality of the reference is unclosed. Both the locality and temporal correlation that exists in the request stream are enclosed that it is the hot references to the few front media files of the file rank that cause the locality, while these requests present stronger temporal correlation. Implications of above conclusions in analyzing, designing and implementing the streaming cache proxy are elucidated.
Keywords:time correlation  locality  streaming media  Zipf distribution  skewed popularity
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