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流媒体点播中用户交互式行为建模

刘威 程文青

刘威, 程文青. 流媒体点播中用户交互式行为建模[J]. 电子与信息学报, 2007, 29(9): 2252-2256. doi: 10.3724/SP.J.1146.2006.00153
引用本文: 刘威, 程文青. 流媒体点播中用户交互式行为建模[J]. 电子与信息学报, 2007, 29(9): 2252-2256. doi: 10.3724/SP.J.1146.2006.00153
Liu Wei, Cheng Wen-qing. Modeling Interactive User Behavior in Streaming-on-Ddemand[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2252-2256. doi: 10.3724/SP.J.1146.2006.00153
Citation: Liu Wei, Cheng Wen-qing. Modeling Interactive User Behavior in Streaming-on-Ddemand[J]. Journal of Electronics & Information Technology, 2007, 29(9): 2252-2256. doi: 10.3724/SP.J.1146.2006.00153

流媒体点播中用户交互式行为建模

doi: 10.3724/SP.J.1146.2006.00153
基金项目: 

国家自然科学基金(60572049,60602029)和湖北省自然科学基金(2005ABA264)资助课题

Modeling Interactive User Behavior in Streaming-on-Ddemand

  • 摘要: 现有的流媒体点播用户行为模型对用户的交互性考虑不足,该文提出了一种新的用户交互式行为模型。仿真结果表明,该模型可生成不同交互强度和请求模式的流媒体用户行为合成记录,其统计特征更为合理,拟合实际交互式用户记录较好。
  • Kim S E, Sivasubramaniam A, and Das C R. Analyzing cache performance for video servers. In Proc. of International Conf. on Parallel Processing (ICPP) 1998, Minneapolis, Minnesota, USA, August 1998: 38-47.[2]Kim S E and Das C R. A reliable statistical admission control strategy for interactive video-on-demand servers with interval caching. In Proc. of International Conf. on Parallel Processing (ICPP) 2000, Los Alamitos, CA. USA, 2000: 135- 144.[3]Li Victor O L, Liao Wanjiun, Qiu Xiaoxin, and Wong Eric W M. Performance model of interactive video-on-demand systems[J].IEEE Journal of Selected Areas in Communications.1996, 14(6):1099-1109[4]Abram-Profeta E L and Shin K G. Providing unrestricted VCR functions in multicast video-on-demand servers. In Proc. International Conf. on Multimedia Computing and Systems (ICMCS) 1998, Austin TX, USA, June 1998: 66-75.[5]Dey-Sircar J K, Salehi J D, Kurouse J F, and Towsley D. Providing VCR capabilities in large-scale video servers. In Proc. ACM International Conference on Multimedia 1994, New York, USA , October 1994: 15-23.[6]Jin S and Bestavros A. GISMO: A generator of Internet streaming media objects and workloads. In Proc. ACM SIGMETRICS Performance Evaluation Review, December 2001, 29(3): 2-10.[7]Tang W, Fu Y, Cherkasova L, and Vahdat A. Medisyn: A synthetic streaming media service workload generator. In Proc. of International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV) 2003, Monterey, CA. USA, June 2003: 12-21.[8]Almeida J M, Krueger J, Eager D L, and Vernon M K. Analysis of educational media server workloads. In Proc. of International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV) 2001, New York, USA, June 2001: 21-30.[9]Chesire M, Wolman A, Voelker G M, and Levy H M. Measurement and analysis of a streaming-media workload. In Proc. USENIX Symp. on Internet Technologies and Systems 2001, Boston, Massachusetts, USA, March 2001: 1-12.[10]Branch P, Egan G, and Tonkin B. A client caching scheme for interactive video-on-demand. In Proc. IEEE of Intentional conf. on Networks (ICON) 1999, Melbourne, Australia, September 1999: 391-397.[11]Wu K L, Yu P S, and Wolf J L. Segment-based proxy caching of multimedia streams. In Proc. of ACM WWW 2001, Hong Kong, China, May 2001: 36-44.[12]Costa C, Cunba I, Borges A, and Ramos C, et al.. Analyzing client interactivity in streaming media, In Proc. of ACM WWW 2004, New York, USA., May 2004: 534-543.[13]Padhye J and Kurose J. Continuous-media courseware server: A study of client interactions. IEEE Internet Computing, Magagine 1999, 3(6): 65-73.[14]Zongkai Y, Tai W, Xu D, and Wei L, et al.. Investigation on the content popularity distribution under K-transformation in streaming applications. In Proc. IEEE TENCON05, Melbourne, Australia, November 2005: 1659-1663.
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出版历程
  • 收稿日期:  2006-02-07
  • 修回日期:  2006-12-22
  • 刊出日期:  2007-09-19

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