Simulation of the switched network based on self-similar model
Zhiguang Wang · Electronic Design Engineering · 2011
Under traditional network simulation,this paper normally uses Poisson distribution to simulate which is a kind of short-range dependence process.As going deep into network research,large number of data and experimental results show that the traffic of network exhibits a self-similar property with long-range dependence characteristic.This characteristic has significant influence on network performance and call admission control.Based on Fractional Brownian Motion model,a self-similar traffic sequence generation method of RMD algorithm is proposed.Furthermore,simulation and modeling for switched network is implemented based on this traffic model.After analyzing each network performance indicator,which has demonstrated that self-similarity has great influence on network performance,and has great contrast to traditional flow models.