Modeling one- and two-layer variable bit rate video
This paper presents a source model for VER video traffic, A finite-state Markov chain is shown to accurately model one- and two-layer video of all activity levels on a per source basis. Our model captures the source dynamics, including the shortterm correlations essential for studying network performance. The modeling technique is shown to be applicable for both H.261 and MPEG-2 encoded video of a variety of activity levels. The traffic model is shown in a simulation study to be able to accurately characterize both the single-source buffer occupancy over a nide range of buffer sizes and the multiplexing behavior. The VER video model is also used to model the enhancement layer of two-layer SNR scalable video. We show that two-layer encoding has significantly better statistical multiplexing gains than one-layer video, particularly when the network admits calls based on a leaky-bucket characterization.
two-layer traffic model multiplexing mpeg2 vbr video