Video Storage And Management Based On The Distributed Cloud Platform

With the streaming media technology has been widely used in the Internet applications,the streaming media applications generated more and more video data,and the amount of these video data is growing rapidly.These huge amounts of data is faced with great difficulties in storage and analysis,if we still use the traditional storage technology to deal with these streaming media data files will greatly increase the cost of the enterprises,and can not achieve the integration of data storage and analysis.With the birth of Hadoop technology,Hadoop is applied to the data storage and processing in the field of non data applications.The Hadoop framework is the purpose of the original design to deal with the text data,if we directly use Hadoop to process the streaming data files will face many problems.In this paper,through in-depth study on the architecture of the Hadoop framework to achieve the data collection,data storage and data analysis for the integration of distributed cloud platform.In this paper,the main work is as follows:1.This paper analyzes the problems existing in traditional Internet technology in storage and processing of massive data,and based on the research of the Hadoop technology gives the demand analysis and the deployment of the distributed cloud platform.2.In this paper,the integration of the Hadoop technology with the traditional J2 EE technology,Red5 streaming media server and the integration of the Map Reduce programming model and FFMPEG tool to achieve the entire distributed cloud platform including the massive video storage module,video on demand module,distributed transcoding module and the distributed cloud platform Web development.3.In this paper,we test the performance of the distributed cloud platform from many aspects,such as reliability,concurrency,scalability and the distributed video transcoding.The expriments show that: in this paper,the design of the data collection,data storage and data analysis of a distributed cloud platform is feasible.The whole distributed cloud platform has good performance in the storage and management of the streaming media data files.The distributed transcoding strategy improves the efficiency of the video transcoding in a single machine mode.And the distributed cloud platform can also meet the needs of users.