Video Information To Optimize The Treatment System Research And Design Base On Cloud Storage

With the advances in science and technology, the video processing system, a certain development, but face the need to meet a lot of access, rapid response and other high-quality video services, traditional systems programs in architecture and load balancing is not mature enough, it can not no longer meet today’s needs. Optimized processing system discussed in this paper based on the video information distributed cloud storage, in which cloud storage as an emerging research and application areas, with rapid deployment, low cost, flexibility to adjust the scale and other advantages, but the cloud storage has also been subjected to some restrictions, the reason is that although we have a series of measure load balancing algorithm, but due to the load can not advance the budget measure, which makes load balancing lost, limiting the overall system performance. Predictable and self-learning, wavelet neural network-based load balancing and load balancing to achieve a reasonable applied.The article on how to build a cloud storage environment, how to optimize video processing technology and how to improve the video information distributed cloud-based storage to optimize the design of the processing system based on wavelet neural network load balancing strategies, given, in some extent, solve the technical deficiencies of the traditional video information processing system, greatly simplifies the application links, and video information resources to fully share and increase its use efficiency. The main research of this topic is as follows:(1) Cloud storage architecture and design. Designed based on the concept and characteristics of cloud storage, cloud storage, four-story storage server model from the bottom to the top are:cloud storage layer, data management, data services layer (also called the Application Interface Layer) as well as access layer. This design are:ordinary PC group to build the underlying cloud storage-cloud storage layer, block management using a variety of functional modules for data management design, develop some of the actual interface for some of the features in the application interface layer, convenient and operations access layer user interaction. (2) Video information distributed optimization. Cloud-based storage environments, video messaging, scheduling, storage optimization. The received video information to restructure and H.264decoding, using a combination of TCP and RTP transmission. Choose a new scheduling algorithm-the strongest ability to give priority scheduling algorithm in the dispatch, storage strategy is based on the time series of video files Redu effective storage.(3) Load balancing and design. Address the limitations of the traditional algorithm, the article chose the improved algorithm based on wavelet neural network prediction model, and to prove the superiority of simulation in the MATLAB environment.