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	The on-line prediction of self-similar traffic based on Chaos theory
	Li, Dou ; Ji, Binghui ; Xiang, Haige
	2007
英文摘要	In this paper, we employ chaotic predictive technique to predict the self-similar traffic. Our novel method combines the algorithm of embedding window with the conception of independently determining embedding parameters. The algorithm we adopt for computing Lyapunov exponent has high computational efficiency. It can be implemented for on-line prediction, and applied in the resource management of wireless networks. ? 2006 IEEE.; EI; 0
语种	英语
DOI标识	10.1109/WiCOM.2006.381
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/153649]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Li, Dou,Ji, Binghui,Xiang, Haige. The on-line prediction of self-similar traffic based on Chaos theory. 2007-01-01.

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