This paper demonstrates the limitation of the traditional multi-fractal wavelet model （MWM）. Through analyzing the multi-resolution behaviors of the real video traffic, we propose an improved MWM model. It synthesiz...This paper demonstrates the limitation of the traditional multi-fractal wavelet model （MWM）. Through analyzing the multi-resolution behaviors of the real video traffic, we propose an improved MWM model. It synthesizes the traffic traces using another wavelet basis, and can adjust wavelet coefficients and multiplicative coefficients at each time scale, based on the network measurement. Subsequently, multifractal spectra and queue performances of the new model have been analyzed. The simulation proves it can capture the multifractal behaviors of network traces.展开更多
基金supported by the National Natural Science Foundation of China (61003237)the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (10KJB510018)
文摘This paper demonstrates the limitation of the traditional multi-fractal wavelet model （MWM）. Through analyzing the multi-resolution behaviors of the real video traffic, we propose an improved MWM model. It synthesizes the traffic traces using another wavelet basis, and can adjust wavelet coefficients and multiplicative coefficients at each time scale, based on the network measurement. Subsequently, multifractal spectra and queue performances of the new model have been analyzed. The simulation proves it can capture the multifractal behaviors of network traces.
