Simple and Eecient Models for Variable Bit Rate Mpeg Video Traac

For the performance analysis of ATM networks carrying Variable Bit Rate (VBR) MPEG video sequences there is a need for appropriate video traac models. In this paper, we discuss Markov chain models for this speciic type of traac with respect to several statistical properties and their ability to predict cell losses at buuers of ATM multiplexers. We intentionally selected a simple model class to check for its appropriateness to model a complex traac type. The results of this paper show that Markov chain models can be used eeciently for MPEG video traac under the following conditions. The Group of Pictures (GOP) generation process should be modeled rather than the frame process. If the performance measures depend on the correlation properties of the video traac the scene process should also be considered in the course of the model development.