Self-organized Criticality of Computer Network Traffic
Based on wavelet analysis, by measuring burstiness of network traffic and analyzing its statistical properties, we provide an empirical evidence for connections between self-organized criticality and network traffic, that is, avalanche, duration time and inter-event time of traffic flow fluctuation obey power law, which indicates that self-organized criticality maybe is the origin of fluctuation burstiness. The fact that inter-event time obeys power law confirms further that network traffic exhibits longterm memory and that the current model based on Poisson process has clearly lost its validity.
Chun-Xia Yang Shi-Mei Jiang Tao Zhou Bing-Hong Wang Pei-Ling Zhou
College of Informatics and Electronics, Zhejiang Sci-Tech University Hangzhou Zhejiang, 310018, Peop Department of Electronic Science and Technology, University of Science and Technology of China Hefei Department of Modern Physcis ,University of Science and Technology of China Hefei Anhui, 230026, Peo
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
1740-1743
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)