Study On Dynamic Data Deployment Algorithm Of Media Content Delivery System

With the ever-increasing development of computer technology and improvement of network bandwidth, streaming media service is rapidly and widely used. According to the latest data of network flow, streaming media service has already been the main part of network flow nowadays. Currently, studies on content delivery network system of streaming media with high carrying ability, high expandability, high stability and low cost which can be commercially operated on a large scale has been a hotspot in the applied field of global streaming media. Compared with systems based on traditional C/S, CDN or P2P, the media content delivery system based on the combination of CDN and P2P put forward in recently years is of more advantages and development potential. The present paper, on the basis of the latest media content delivery system, examines one of the most important technologies: dynamic data deployment algorithm.The present paper includes studies on the following aspects. Firstly, media content delivery system is very complex because of combining CDN and P2P, and the present paper divides the system into two layers (backbone layer and edge layer) and analyzes main problems to be solved in each layer respectively. Secondly, it is found that NP issues are the common problems to be solved in each layer and the present paper proposes dynamic data deployment algorithms for each layer respectively on the basis of POMDP, policy iteration algorithm and policy gradient algorithm. Thirdly, in order to verify the performance of the algorithm, the present paper employs computer simulation technology to conduct simulation on a concrete media content delivery system gradually from simple condition to more complicated ones. Fourthly, the present paper analyzes and discusses the simulation results and makes some conclusions.The present paper applies relevant theories of POMDP to the study of dynamic data deployment algorithm of media content delivery system for the first time and endeavors to broaden the study thoughts of data deployment algorithm and lays a little foundation for the further study of the field.