Wavelet-analysis based file-sharing P2P traffic prediction algorithm

被引：0
|
作者：
Wu M. [1 ,2 ,3 ]
Wang R. [1 ,2 ,3 ]
Han Z. [1 ,2 ,3 ]
机构：
[1] College of Computer, Nanjing University of Posts and Telecommunications, Nanjing
[2] Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing
[3] Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunications, Ministry of Education, Jiangsu Province, Nanjing
来源：
International Journal of Digital Content Technology and its Applications | 2011年 / 5卷 / 06期
关键词：
Kalman filter system equation; P2P network; Wavelet-analysis;
D O I：
10.4156/jdcta.vol5.issue6.7
中图分类号：
学科分类号：
摘要：
The increasing P2P network traffic on the Internet has leaded to the problem of network congestion. In the consequence of the diversification of the P2P business and protocol, research on the management of P2P traffic has many problems to resolve. Prediction of the P2P traffic is the kernel problem in the P2P traffic management. Based on the existed P2P traffic characters, this paper structures a P2P traffic model, gives a traffic prediction algorithm bases on wavelet-analysis, and proves the accuracy of the algorithm. Simulation experiment figures that the algorithm has a high prediction precision and a superior real-time performance.
引用
收藏
页码：46 / 54
页数：8
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