摘要
网络流量的预测和控制是现代网络中的一个重要方面,但是它所呈现出来的长相关、分形等特征已经无法用传统的流量模型来描述。利用相空间重构方法,通过计算两组典型网络流量的Lyapunov指数、关联维来找出具有共性的现代网络流量的特征量,从而刻画网络流量的混沌奇异吸引子。仿真结果表明,现代通信网流量存在有共性的奇异吸引子。从而为网络的混沌建模及分析给出了理论上的支持。
The forecasts and the control of network traffic is an important aspect in modern network while its long-range dependence and-fractal characteristics can not be described with traditional model. Common characters of modern traffic were researched by calculating Lyapunov exponents and the correlation dimension of representative groups network traffic to depict network traffic chaos strange attractor. Result shows that there are common strange attractors in modern communication network, which is theoretically supportive to network modeling and analysis.
出处
《解放军理工大学学报（自然科学版）》
EI
2008年第5期427-430,共4页
Journal of PLA University of Science and Technology(Natural Science Edition)
基金
河南省杰出青年基金资助项目(512000400)
关键词
混沌奇异吸引子
相空间重构
网络流量
chaotic strange attractor
phase space reconfiguration
network traffic
