An Analysis and Proof on Self-Similarity Property of Flash P2P Internet Video Traffic
An Analysis and Proof on Self-Similarity Property of Flash P2P Internet Video Traffic作者机构：Computer of Science Nanjing University of Posts and Telecommunications Institute of Advanced Technology Nanjing University of Posts and Telecommunications
出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期：2015年第24卷第1期
页 面：26-32页
核心收录：
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：supported by Huawei Foundation(No.2013W04) National Natrual Foundation(No.61170065,No.61373017) Jiangsu Natural Science of Young Foundation(No.BK20130876) Jiangsu future network project(No.BY2013095-4-03) National Post-doctorial Foundation(No.2013M541702)
主 题：Video traffic Flash P2P Self-similarity Empirical mode decomposition(EMD) Autoregressive integrated moving average(ARAMA) model.
摘 要：In order to study the amount of bandwidth resource loss caused by flash P2 P technique, its influence on network load and its maintenance cost, the characteristic of Internet traffic of flash P2 P is studied. On the basis of analysis of features of Real time media flow protocol(RTMFP), the traffic of flash P2 P 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 P2 P traffic and the transmission time interval obeys the heavy-tailed distribution. This accounts for the self-similarity of the flash P2 P 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 P2 P traffic has self-similar characteristic.
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