A source model for VBR video traffic based on M/G//spl infin/ input processes

Statistical evidence suggests that the autocorrelation function of a compressed-video sequence is better captured by /spl rho/(k)=e/sup -/spl beta//spl radic/(k)/ than by /spl rho/(k)=/sup -/spl beta//=e/sup -/spl beta/ log k/ (long-range dependence) or /spl rho/(k)=e/sup -/spl beta/k/. A video model with such a correlation structure is introduced based on the so-called M/G//spl infin/ input processes. Though not Markovian, the model exhibits short-range dependence. Using the queueing performance under "real" video traffic as a reference, we study via simulations the queueing performance under two video models: the M/G//spl infin/ model and the fractional ARIMA (F-ARIMA) model (which exhibits LRD). Our results indicate that the M/G//spl infin/ model is much more accurate in predicting the actual queueing performance than the F-ARIMA model. Furthermore, only /spl Oscr/(n) computations are required to generate an M/G//spl infin/ trace of length n, compared to /spl Oscr/(n/sup 2/) for a F-ARIMA trace.