Title :
Self-organized Criticality of Computer Network Traffic
Author :
Yang, Chun-Xia ; Shi-Mei Jiang ; Zhou, Tao ; Wang, Bing-Hong ; Zhou, Pei-Ling
Author_Institution :
Coll. of Informatics & Electron., Zhejiang Sci-Tech Univ., Hangzhou
Abstract :
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 long-term memory and that the current model based on Poisson process has clearly lost its validity
Keywords :
Poisson distribution; computer networks; statistical analysis; telecommunication traffic; wavelet transforms; Poisson process; computer network traffic burstiness; power law; self-organized criticality; statistical analysis; wavelet analysis; Computer networks; Ethernet networks; Fluctuations; Internet; Local area networks; Performance analysis; Power measurement; Telecommunication traffic; Traffic control; Wavelet analysis;
Conference_Titel :
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7803-9584-0
Electronic_ISBN :
0-7803-9585-9
DOI :
10.1109/ICCCAS.2006.285010