In this paper, we present a new approach to modeling variable bit rate (VBR
) coded video sources in asynchronous transfer mode (ATM) networks. Unlike
the existing methods which model the number of cells generated by the coder
for a sequence of video frames, the new approach improves modeling accurac
y by considering the characteristics of different cells generated by the co
der, and modeling the number of cells in each type of macroblock of a frame
separately. The model is tested by comparing the cell loss rate and mean q
ueue size in simulation of an ATM switch, with the same statistics produced
when traces generated by the model are used as the source, Comparisons wit
h the existing models are made by measuring both the quality of their predi
ctions for network performance and the quality of service experienced by a
user, (C) 2000 Academic Press.