Study and M/G/∞-based modeling of the correlation characteristics of H.264/AVC video traffic and the SVC extension

Video represents a larger and larger portion of the traffic in Internet. H.264/AVC and the SVC extension have recently become some of the most widely accepted video coding standards. Consequently, adequate models for this traffic are very important for the performance evaluation of networks architectures and protocols. Particularly, the efficient generation of synthetic sample paths is fundamental, because real traces are usually of limited length and lack the necessary diversity required to perform such analysis. In this paper, we focus on the M/G/infin process and we use the Whittle estimator to choose, between several models for video traffic based on it, the one that gives rise to a better adjustment of the correlation structure.