An Analysis and Proof on Self‐Similarity Property of Flash P2P Internet Video Traffic. Issue 1 (1st January 2015)

• Record Type: Journal Article
• Authors: Ji, Yimu; Yuan, Yongge; Han, Zhijie; Wang, Hao; Han, Lei; Sun, Yanfei; Wang, Ruchuan
• Is Part Of: Chinese journal of electronics. Volume 24:Issue 1(2015)
• Page Start: 26
• Page End: 32
• Publication Date: 2015-01-01
• Subjects: Internet -- media streaming -- peer‐to‐peer computing -- probability -- protocols -- telecommunication traffic -- video communication -- video servers; self‐similarity property -- flash P2P Internet video traffic -- network load -- Internet traffic -- real time media flow protocol -- RTMFP -- probability distribution -- heavy‐tailed distribution -- China online video content providers; Electronics -- Periodicals; Electronics -- China -- Periodicals; Electronics; China; Periodicals; 621.38105
• DOI: 10.1049/cje.2015.01.005
• Languages: English
• ISSNs: 1022-4653

Abstract

Abstract : In order to study the amount of bandwidthresource loss caused by flash P2P technique, its influenceon network load and its maintenance cost, the characteristicof Internet traffic of flash P2P is studied. On the basisof analysis of features of Real time media flow protocol(RTMFP), the traffic of flash P2P can be identified fromthe Internet traffic. By extraction and analysis of the trafficof the three largest online video content providers inChina (Youku, Iqyi and Sohu Video) and the calculationof probability distribution of the traffic, it is found that thetransmission time of flash P2P traffic and the transmissiontime interval obeys the heavy‐tailed distribution. This accountsfor the self‐similarity of the flash P2P traffic. Tobetter explain the phenomenon, the long‐range dependentmodel is established based on the current traffic. By theestablished mathematical model, it is strictly proved thatflash P2P traffic has self‐similar characteristic.