Self-Similar Traffic Generation Using A Fractional Arima Model. Application To The Vbr Mpeg Video Traffic

Recent studies and traffic measurements have shown that variable bit rate (VBR) video traffic, as well as local area networks (LAN) traffic, exhibits long range dependence (LRD). When this kind of traffic is transmitted over ATM networks, the LRD property implies a bigger necessity in term of buffer allocation and channel capacity. In this paper, a new fractional ARIMA model for VBR MPEG video traffic at frame level is presented. The fractional integrative component of the model is based on a process called "fractional differencing". The model has been obtained from three very long sequences. It has been used to synthesize artificial traffic, which presents the desired LRD. Keywords: Self-similar traffic, VBR MPEG video traffic, Fractional ARIMA models. 1. Introduction Local area networks (LAN) and variable bit rate (VBR) video traffics exhibits long range dependence (LRD) in their autocorrelation function [1][2][3]. This kind of traffic has been called selfsimilar traffic, because i..