The On-Line Prediction of Self-Similar Traffic Based on Chaos Theory

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 online prediction, and applied in the resource management of wireless networks.

关键词： chaotic prediction self-similar traffic phase space reconstruction Lyapunov exponent

作者: Dou Li Binghui Ji Haige Xiang

作者单位: School of Electronics Engineering and Computer Science,Peking University Beijing 100871,P.R.China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）