DocumentCode
2310768
Title
The On-Line Prediction of Self-Similar Traffic Based on Chaos Theory
Author
Li, Dou ; Ji, Binghui ; Xiang, Haige
Author_Institution
Sch. of Electron. Eng. & Comput. Sci., Peking Univ., Beijing
fYear
2006
fDate
22-24 Sept. 2006
Firstpage
1
Lastpage
4
Abstract
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
Keywords
chaotic communication; radio networks; telecommunication network management; telecommunication traffic; Lyapunov exponent; chaos theory; chaotic predictive technique; embedding window; resource management; self-similar traffic; wireless networks; Chaos; Chaotic communication; Communication system traffic control; Delay effects; IP networks; Resource management; Space technology; Telecommunication traffic; Web and internet services; Wireless networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-0517-3
Type
conf
DOI
10.1109/WiCOM.2006.381
Filename
4149558
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