Performance Evaluation of Network Traffic Based on Chaos Theory
基于混沌理论的网络流量性能评估

A method based on chaos theory is presented in this paper, to evaluate large-scale network performance using massive traffic measurement. As the periodicity of long-term link utilization measurement and the chaotic nature of short-term link utilization measurement, the largest Lyapunov exponent can be selected as a performance evaluation parameter to represent the performance of network. Analysis results show that the largest Lyapunov exponent can achieves better results than commonly used statistics, such as mathematical expectation and variance.