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Conventional video monitoring systems for real-time online is not strong, massive video data transmission delay, single issues such as task management, proposed to build in the cloud computing ring virtual machine technology based on multi-line video surveillance systems, the use of cloud computing platforms and physical resources service resources to enhance the online video surveillance system data processing capabilities, a virtual machine can handle large amounts of video surveillance data, and video data stored in the cloud storage cloud server, reducing the construction cost of equipment, related services can be customized according to the needs of different users . The system is cloud computing platform design, application dozens or even hundreds of virtual machines based on monitoring data for online video processing, design and implementation of the structural design of the cloud platform for online video surveillance system, Ethernet communication interface design, server hardware configuration and virtual Machine Control. By calculating each virtual machine resource utilization and dynamic allocation of resources in software design, which can effectively reduce the cost of network bandwidth transmission system status information. The system function and performance testing shows that in the case of a conventional public network bandwidth is 10M, the transmission line of the video surveillance system, the delay time of the data compared to traditional video surveillance reduced more than 85%, more than 75% reduction in monitoring the amount of video data.