VBR Video Traffic Model

The variable-bit-rate (VBR) stream has made up a main part in the nowadays broadband traffic. Due to its better utilization of bandwidth and better quality, VBR video has been widely used in video-on-demand systems, video surveillance systems and video conference systems. This dissertation researches into the modeling of VBR video services (especially the video services using MPEG-4 coding standard).The vibration of data rate of VBR video may put traffic bursts on networks. It challenges the design of streaming servers on properly allocating resources, that is, to guarantee the QoS while minimize the waste and applying congestion control. These problems cannot be solved until a proper model of VBR video is found. Researches have proved the existence of both short-range dependence and long-range dependence in VBR sequence. While the traditional time series analysis deals only with the former, the modeling of the later should employ self-similarity. This idea was used to describe the similarity of statistical features under different time view. As the existence of long-range dependence and self-similarity in VBR sequence, traditional time series analysis may not be useful.This dissertation summarizes the statistics characteristic of VBR video services systematically, introduces some ways to calculate. In order to use the video services in engineering directly, this dissertation summarizes several methods of modeling models, and discusses their virtue and disadvantages. The model based on Markov Process is used in analysis; the AR model and the TES model are used in simulation. The AR model has an explicit expression and its parameter's calculation is very simple.This dissertation puts forward a new VBR video model based on wavelet, discussing the way to calculate the model's parameters and validating the model with simulation. This model is simpler and easier to analyze, and it can describe the MPEG-4video services more accurately.