A Source Model for VBR Video Traffic Based on M/G/infinity Input Processes.
Marwan Krunz, Armand M. Makowski · 1998
Statistical evidence suggests that the autocorrelation function of a compressed-video sequence is better captured by ae(k) = e \\Gammafi p k than by ae(k) = k \\Gammafi = e \\Gammafi log k (long-range dependence) or ae(k) = e \\Gammafik (Markovian). A video model with such a correlation structure is introduced based on the so-called M=G=1 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=1 model and the fractional ARIMA (F-ARIMA) model (which exhibits LRD). Our results indicate that the M=G=1 model is much more accurate in predicting the actual queueing performance than the F-ARIMA model. Furthermore, only O(n) computations are required to generate an M=G=1 trace of length n, compared to O(n 2 ) for a F-ARIMA trace. 1 Introduction Several studies have recently indicated the persistence of the...