Network Traffic Analysis based on Wavelet
The characteristic analysis of network traffic is an important issue in communication networks. Through making full use of the multi resolution analysis in the wavelet transform, the network traffic which is difficult to analyze and model in the time domain is divided into different bands of frequencies by using wavelet disposition. Auto Regressive Moving Average Model is employed to predict the denied sub- traffic with different bands of frequencies. Then the expected traffic to predict in time domain is obtained by synthesizing these sub-traffics. Experimental prediction result with the real net work traffic indicates that the model improves the prediction accuracy and provides a relatively accurate forecast of the network traffic, especially the short-range traffic.