Scaling Behaviors of Traffic in Computer Communication Networks
In this paper, we present an empirical study on the scaling behaviors of traffic in computer communication networks. It is shown that the data shipped by the web server have a symmetry heavy-tailed distribution, with the corresponding cumulative distributions of both negative and positive tails can be well fitted by a Lévy regime or an extendedly asymptotic power-law form. We investigate the long-range dependence of the absolute value of both packet-changes and byte-changes by using the detrended fluctuation analysis, and find a crossover at approximately 5 minutes (300(=)102:5seconds) in both the two cases. The corresponding scaling exponents are 0.66/0.98 and 0.63/0.97 for the measure of packets and bytes, respectively.
Pei-Ling Zhou Shi-Min Cai Tao Zhou Zhong-Qian Fu
Department of Electronic Science and Technology Hefei Anhui, 230026, Peoples Republic of China
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
1744-1748
2006-06-25(万方平台首次上网日期,不代表论文的发表时间)