| Today's video security system,as the video clarity deepens growing clearly under age of surveillance video,its storage capacity and data processing requirements are increasing,camera requirements are constantly increasing.At present,for unmanned video surveillance data base stations increased and new programmes,enabling it to handle higher efficiency and performance requirements.In recent years the rise of the "cloud computing" and "cloud storage" also brought new development of video surveillance.No base station video surveillance is conducted in,and according to the most commonly used rate needs to be calculated and controlled.Therefore requests that the data transmission speed and security can have higher requirements.In addition,according to the characteristics of the data storage on the whole no one base station control video surveillance systems monitoring capabilities.Cloud computing with a new formula,video uploading and processing of data and related services according to the needs of the video surveillance application.First,the article focuses on "cloud computing" technologies and other simple analyses of the cloud platform,according to the merits of the server build.In the framework of the building,although the processing requirements of the system is not high,but the overall design and transcoding processes carried out the detailed design and relationship between the various parts of a reasonable discussion.Article by using the MapReduce programming about output transcoding the video processing by the client,traditional video surveillance to solve difficulties.In addition,HDFS technology will be used to store the video.The secondary development based on system can effectively meet the feasibility of video users.This paper tests according to the function,and according to the experimental results for system processing and analysis,improve the stability of their storage. |