An Analytical Model of Average Queuing Delay for self-similar Network based on FBM
Ya Jia · Microcomputer Information · 2008
A average queuing delay model based on FBM for self-similar traffic was proposed,which utilizes FGN(Fractional Gaussian Noise) model that applies FFT(Fast Fourier Transfer) generating self-similar traffic.Simulation results based on theory fractional traffic and real measured traces show that average queuing delay under the traffic of different self-similar level(Hurst parameter) increases all in all as the buffer size of a node increases;buffer size is small,average queuing delay rises as Hurst parameter decreases ;the other way round,buffer size is large,average queuing delay increases as Hurst parameter increases;and average queuing delay increases as load increases.