A Source Model for VBR Video Traffic Based on M/G/cQ Input Processes

Statistical evidence suggests that the autocorrelation function of a compressed-video sequence is better captured by p(k) = e–~fi than by p(k) = k–fi = e–~’og k (long-range dependence) or p(k) = e-~k (Markovian). A video model with such a correlation structure is introduced based on the so-called M/G/ca input processes. Though not Markovian, the model exhibits short-range dependence. Using the queueing performance under ‘real’ video trafic as a reference, we study via simulations the queueing performance under two video models: the M/G/ca model and the fractional ARIMA (F-ARIMA) model (which exhibits LRD). Our results indicate that the M/G/w model is much more accurate in predicting the actual queueing performance than the F-ARIMA model. Furthermore, only C7(n) computations are required to generate an M/G/co trace of length n, compared to Q(n2] for a F-ARIMA trace.