In this paper

we use parsimonious LAN and WAN traffic traces to examine the effectiveness of multifractal traffic modeling.We find that Hurst index may vary when we use different moment estimation while the multifractal property remains on a long range time scale.Traffic based simulation reveals that using fractional Brownian Motion model is not accurate enough to capture the queueing behavior of real trace exhibiting multifractal phenomena.In order to describe multifractal property

we propose a multi window wavelet transform method for the purpose of estimating the time varying scaling Hlder exponent.Numerical results are also given to show that the proposed method gives lower estimation variance than directly using coarse grain method.