GoP-based fluid Markovian modelling of video traffic

Abstract

The constant evolution of video standards and technologies and the important growth of the amount of video data in networks leads to a need to build new models for video sources. In this paper, we specify a Markovian fluid model based on GoPs (Group of Pictures) that creates a video source descriptor. This descriptor can be used to compute the loss rate observed when transmitting the video via the network. We show also how to build an artificial video traffic having the same statistical characteristics of the original source.