In this paper

we proposed a new rayleigh distribution based wavelet model for video traffic.With Haar wavelet mutiresolution analysis

we use different models to modeling the scaling coefficients and wavelet coefficients

and by inverse wavelet transform

we can get the whole generated traffic trace.In the coarsest scaling space

we use a rayleigh distribution based AR model to generate the scaling coefficients

for the scaling coefficients are approximately rayleigh distributed.While in the wavelet spaces

we use wavelet independent guassian model to generate the wavelet coefficients.Because the proposed model uses different models in scaling space and wavelet

it can capture the probability distribution and the long-range dependence of the VBR video traffic very well.Moreover

under the multiscale queue (MSQ) framework

we give a theoretic formula of the queuing analysis.Finally

by the video traffic trace-driven simulation and queuing analysis

we show the effectiveness of the proposed model.