An Analysis and Proof on Self-Similarity Property of Flash P2P Internet Video Traffic

被引:4
作者
Ji Yimu [1 ,2 ]
Yuan Yongge [1 ]
Han Zhijie [1 ]
Wang Hao [3 ]
Han Lei [3 ]
Sun Yanfei [1 ]
Wang Ruchuan [1 ]
机构
[1] Nanjing Univ Posts & Telecommun, Comp Sci, Nanjing 210023, Jiangsu, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Jiangsu, Peoples R China
[3] Nanjing Inst Huawei Technol Corp, Nanjing 210012, Jiangsu, Peoples R China
关键词
Video traffic; Flash P2P; Self-similarity; Empirical mode decomposition (EMD); Autoregressive integrated moving average (ARAMA) model; LONG-RANGE DEPENDENCE; HILBERT SPECTRUM;
D O I
10.1049/cje.2015.01.005
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In order to study the amount of bandwidth resource loss caused by flash P2P technique, its influence on network load and its maintenance cost, the characteristic of Internet traffic of flash P2P is studied. On the basis of analysis of features of Real time media flow protocol (RTMFP), the traffic of flash P2P can be identified from the Internet traffic. By extraction and analysis of the traffic of the three largest online video content providers in China (Youku, Iqyi and Sohu Video) and the calculation of probability distribution of the traffic, it is found that the transmission time of flash P2P traffic and the transmission time interval obeys the heavy-tailed distribution. This accounts for the self-similarity of the flash P2P traffic. To better explain the phenomenon, the long-range dependent model is established based on the current traffic. By the established mathematical model, it is strictly proved that flash P2P traffic has self-similar characteristic.
引用
收藏
页码:26 / 32
页数:7
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