| With the development of information technology, the new work mode is gradually formed, such as video meeting, information distribution, and distance education, which greatly enhances the work efficiency. At the same time,with the3G and4G mobile communications technology continues to mature and deployment, as well as the development of audio and video encoding technology, the flexible business applications becomes possible, such as mobile video telephony, video on demand and mobile video surveillance. All of the above needs the transmission of high volume real-time streaming media data.For the large enterprises (more than1million employee), the streaming media application is different with traditional enterprise or internet streaming applications, has its own characteristics, that is massive online access and real-time user interaction needs exist, the online users is stable, the case of online and offline frequently is less. Further, the communication performance and perceptibility of the network is good, can better support streaming media transmission. Considering the characteristics of large enterprise real-time streaming media application, the research of real-time streaming media transmission scheduling is important.The staff of SGCC is more than1500000, the intranet desktop terminal is600000.and the internet desktop terminal is200000. If more than tens of thousands, hundreds of thousands of employees access video service, there will be massive online access needs and real-time interactive demand, the traditional streaming media transmission system faces great challenge. The massive data transmission of streaming media has brought great impact to the electric power communication network.The current infrastructure can’t meet the demand on real-time transmission of high volume streaming data. In SGCC, the live video conferencing system is limited by the capacity of the communication network bandwidth and server. The high volume real-time streaming media transmission becomes bottleneck. So the study of high volume real-time streaming media data transmission is extremely important.There are many problems, when the traditional technology of data transmission used in electric power communication network:(1) There are a variety of transmission technologies, with different characteristics and costs, therefore the choice of distribution technologies should be studied. Deal with large-scale data distribution, using C/S mode, the server load capacity is limited by bottlenecks in network bandwidth; the CDN technology can solve the bandwidth problem, but the server is expensive and larger maintenance cost; P2P technology can solve the server load, but can’t solve the network bottlenecks, it will bring huge network traffic flows, in particular, brought a lot of cross-domain redundant traffic, wasting valuable bandwidth of the backbone network and interconnection network. Therefore, how to use these technologies needs to study.(2) For a long time, in the traditional internet video applications, the poor video experience is a key issue, the long startup delay impact on the user’s feelings, and affect the development of streaming media applications. Therefore, how to reduce startup delays, improve system quality of service (QoS) and quality of experience (QoE) is to be solved.(3) In SGCC, the terminal environment is different, wired and wireless node heterogeneous nodes exist. The heterogeneous node makes challenges on the transmission of the video data. Wheather the mobile terminal is able to meet the requirement of power business or not, needs to be verified. The video quality and the bandwidth requirement of heterogeneous node is different. How the data transmission scheduling meets the needs of different terminal, is an urgent problem to be solved.Based on the theory of complex networks, data transmission and video codec technology, taking power video conference as the breakthrough point, real-time scheduling and transmission of electricity high volume data is studied, aimed to multi-objective optimize the performance of the high volume real time data, including video quality, startup delay, inter-network traffic, load balancing. In this paper, a two-layer optimization method is used, which optimizes the overlay topology firstly and optimize data transmission scheduling algorithm secondly.Firstly, this paper gives a comprehensive analysis and evaluation on a variety of data distribution technology and presents a suitable hybrid transmission architecture for the high volume real-time data distribution. The access capability of the mobile terminal is verified and the feasibility is argued when applied to power video business. Based on the theory of complex networks, this paper presents a peer-to-peer netwok mode based on node viscosity (P2P-NMNV). and analysis the topological metrics for the model, the conclusion show that degree of node in the network is in line with a power-law distribution, short characteristic path and high clustering coefficient, suitable for the power of high volume real-time data distribution, reducing transmission delay and improve user experience.Based on the P2P-NMNV model, a hybrid network architecture based on autonomous domain HPCS (Hybrid P2P and CDN Structure) is present, with comprehensive utilization of the advantages of P2P, CDN and sub-autonomous domain transfer. This is the first time for using P2P-CDN network model in the power system. For Reducing backbone traffic and delay by transmission in different area effectively; the hybrid network mode, combined P2P and CDN technology, can effectively improve the video quality of service, and improve network carrying capacity; with the P2P core nodes CDN network exchangeable mode significantly reduce the equipment deployment costs. Using the analysis method based on entropy weight, present core node election algorithm to optimize the network transmission performance; With single domain multi-core CDN node, the core nodes connected with each other, it can improve the robustness of the network and enhance the efficiency of data transmission; To improve the system fault tolerance in case of failure of the core node, the cross-domain connections can be used, which can improve the system robustness, and get the inter-network traffic allocation ratio. Depend on the live streaming data scheduling model based the HPCS framework, a scheduling model is present, which is suitable for a mixed broadcast environment of fixed and mobile video. A multi-target data scheduling algorithm based on entropy weight analysis method is proposed. The simulation results show that the algorithm can achieve the local optimal data scheduling algorithm, which can get a local optimum configuration between low-latency playback, high video quality and load balancing.In summary, based on the complex network theory, Data transmission technology, taking the video conference as the breakthrough point, an innovation is proposed in the power high volume real-time data transmission model and data scheduling algorithms, which achieves fruitful results, effective solution to a real-time video data transmission, and a good user experience. The achievement is suitable to the real-time, non-real-time mass data transmission applications in power systems and the internet. |
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