Improved multi-fractal network traffic model and its performance analysis  

作　　者：HUANG Li-ya WANG Suo-ping 

机构地区：[1]Institute of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2011年第5期102-107,共6页中国邮电高校学报（英文版）

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)

摘　　要：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.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.

关 键 词：MULTIFRACTAL multifractal wavelet model multifractal spectrum queue overflow probability 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] O484.1[自动化与计算机技术—计算机科学与技术]