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作 者:Yu Jiang Chou Chun Tung Yang Zhongkai Du Xu Wang Tai
机构地区:[1]Dept of Electronics and Information Engineering, Huazhong University of Science & Technology, Wuhan 430074, China [2]School of Computer Science and Engineering, University of New South Wales, Sydney 2052, Australia
出 处:《Journal of Electronics(China)》2006年第5期798-800,共3页电子科学学刊(英文版)
基 金:Supported by the National Natural Science Foundation of China (No.60302004), the Australian Research Council (Grant LX0240468) and Natural Science Foun-dation of Hubei, China (No.2005ABA264).
摘 要:Due to large size and different popularity for different part of the video, most proxy caches for streaming medias cache only a part of the video. Thus, an accurate understanding on the internal popularity distribution of media objects in streaming applications is very important for the development of efficient cache mechanisms. This letter shows that the internal popularity of popular streaming media obeys a k-transformed Zipf-like distribution through analyzing two 6-month long traces recorded at different streaming video servers of an entertainment video-on-demand provider. This empirical model can be used to design an efficient cach- ing algorithm.Due to large size and different popularity for different part of the video, most proxy caches for streaming medias cache only a part of the video. Thus, an accurate understanding on the internal popularity distribution of media objects in streaming applications is very important for the development of efficient cache mechanisms. This letter shows that the internal popularity of popular streaming media obeys a k-transformed Zipf-like distribution through analyzing two 6-month long traces recorded at different streaming video servers of an entertainment video-on-demand provider. This empirical model can be used to design an efficient caching algorithm.
关 键 词:Internal popularity Zipf-like Streaming media
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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