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一种流媒体Caching策略
引用本文:谭劲,余胜生,周敬利.一种流媒体Caching策略[J].上海大学学报(英文版),2004,8(1):57-62.
作者姓名:谭劲  余胜生  周敬利
作者单位:SchoolofComputerScienceandTechnology,HuazhongUniversityofScienceandTechnology,Wuhan430074,P.R.China
基金项目:theNationalHigh TechnologyResearchandDevelopmentProgramofChina (GrantNo .863 -2 0 0 1AA1110 11)
摘    要:It is expected that by 2003 continuous media will account for more than 50% of the data available on origin servers, this will provoke a significant change in Internet workload. Due to the high bandwidth requirements and the long-lived nature of digital video, streaming server loads and network bandwidths are proven to be major limiting factors. Aiming at the characteristics of broadband network in residential areas, this paper proposes a popularity-based server-proxy caching strategy for streaming media. According to a streaming media popularity on streaming server and proxy, this strategy caches the content of the streaming media partially or completely. The paper also proposes two formulas that calculate the popularity coefficient of a streaming media on server and proxy, and caching replacement policy. As expected, this strategy decreases the server load, reduces the traffic from streaming server to proxy, and improves client start-up latency.

关 键 词:缓冲策略  流媒体  网络技术  拥挤控制
收稿时间:7 March 2003

A caching strategy for streaming media
Tan?Jin,Yu?Sheng-sheng,Zhou?Jing-li.A caching strategy for streaming media[J].Journal of Shanghai University(English Edition),2004,8(1):57-62.
Authors:Tan Jin  Yu Sheng-sheng  Zhou Jing-li
Institution:School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, P.R. China
Abstract:It is expected that by 2003 continuous media will account for more than 50% of the data available on origin servers, this will provoke a significant change in Internet workload. Due to the high bandwidth requirements and the long-lived nature of digital video, streaming server loads and network bandwidths are proven to be major limiting factors. Aiming at the characteristics of broadband network in residential areas, this paper proposes a popularity-based server-proxy caching strategy for streaming media. According to a streaming media popularity on streaming server and proxy, this strategy caches the content of the streaming media partially or completely. The paper also proposes two formulas that calculate the popularity coefficient of a streaming media on server and proxy, and caching replacement policy. As expected, this strategy decreases the server load, reduces the traffic from streaming server to proxy, and improves client start-up latency.
Keywords:streaming server  proxy caching  streaming media  caching strategy  popularity  
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