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

被引：0

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] Computer of Science, Nanjing University of Posts and Telecommunications

[2] Institute of Advanced Technology, Nanjing University of Posts and Telecommunications

来源：

Chinese Journal of Electronics | 2015年 / 24卷 / 01期

关键词：

Video traffic; Flash P2P; Self-similarity; Empirical mode decomposition(EMD); Autoregressive integrated moving average(ARAMA) model;

D O I：

暂无

中图分类号：

TP393.02 [];

学科分类号：

081201 ; 1201 ;

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.

引用

页码：26 / 32

页数：7

共 24 条

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