For the performance analysis of ATM networks carrying Variable Bit Rat
e (VBR) MPEG video sequences there is a need for appropriate video tra
ffic models. In this paper, we discuss Markov chain models for this sp
ecific type of traffic with respect to several statistical properties
and their ability to predict cell losses at buffers of ATM multiplexer
s. We intentionally selected a simple model class to check for its app
ropriateness to model a complex traffic type. The results of this pape
r show that Markov chain models can be used efficiently for MPEG video
traffic 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 traffic the scene process should also be considered in the cours
e of the model development. (C) 1997 Elsevier Science B.V.