Study On Network Qoe Model And Testing Technology

With the rapid development of technology, the Internet has become an important part of people’s lives. Network applications such as network news, video streaming, instant messaging, microblog, online games and e-commerce applications are emerging into every aspect of people’s lives. Among all of the network applications, video streaming which of large number of users has become one of the most compelling network applications. The maturity of3G and4G technology will solve the bandwidth bottleneck of mobile video and provide a very broad space for the development of network video streaming service. Video streaming cost more traffic and is of high technical requirements, has always been people’s research focus. Video streaming business has tremendous opportunities, interbank operations and homogeneous competition, making the field of video streaming is very competitive. For video service providers, satisfying their user as far as possible, retain users and as much as possible is the key method to their survival, development, growth and profitability. Therefore, we study the impact of the video streaming QoE model and test technology, hope to establish the link between QoE and network QoS or application layer QoS metrics indicators to forecast video streaming business QoE with no reference method, for the purposes of savings of network resources and monitoring QoE.The purpose of this project is to study the network video streaming QoE model and test technology. This paper analyzes the characteristics of the two types of video streaming media transmission protocol to study the progress of the two typical video streaming media business QoE model. For high-definition IPTV services, the proposed QoE model is based on the Bit Rate Distortion and video content. For HTTP video, QoE model in this paper is based on buffer frequency, average buffer time, and application layer QoS model is based on Bit Rate Distortion, packet loss rate.The main content of this paper can be concluded as follows:1. Video streaming QoE model overview. Introduce the structure of video stream system and main video streaming media transmission protocol, and summarize the characteristics of transport protocol. Summarize the video streaming QoE, introduce the technical level of the main factors which affect video streaming QoE and the QoE scoring method used in this paper. Introduce progress of QoE model for HD IPTV services and HTTP video.2. HD IPTV service QoE model and testing technology. Introduce the test demand of QoE model and analysis the factors which impact the high-definition IPTV services QoE from technical aspects detail, and put forward the test program based on the analysis of the results. Divide the selected HD video clips and build a test environment, the bit rate, resolution rate, a factor of the video content in three bit rates of damage combined to test the impact of the combination of these factors on the HD IPTV business QoE. Analyze the experimental results of high-definition IPTV services to predict damage based on Bit Rate Distortion and video content and verify the feasibility of QoE model to predict high-definition IPTV services QoE based on Bit Rate Distortion and video content.3. HTTP video QoE model and test technology. Introduce the testing demand of HTTP video QoE model, analyze detailed the factors which impact the HTTP video QoE from technical aspects and put forward the test program based on analysis results. Develop the network simulation system and divide the selected video clips and set up an experimental environment. Test the of impact network layer QoS parameters (Bit Rate Distortion and packet loss rate) on the application layer QoS (starting buffer time, buffer frequency and average buffer time), and two application layer QoS parameters-buffer frequency and average buffer time on QoE. At last, this paper propose the application layer QoS model based on Bit Rate Distortion and packet loss rate and QoE model based on buffer frequency and average buffer time.