A Deployment Method of Fusion Video Live Channel in Mobile Cloud Computing Environment

Abstract

The invention provides a deployment method of a fused video channel for balancing channel resources and coordinating cloud delay and local loads in a self-adaptive manner for a video application witha shared interactive load characteristic. The method comprises the following steps: firstly, a shared interactive system with a fused video live broadcast function is realized based on WebRTC and OpenCV; on the basis of the system, the three processes of application dissociation and independence are subjected to experiments, and a shared interactive resource-load model is obtained. On the basis,the channel resource load is estimated on the basis of the model, an admission control strategy is realized through a greedy heuristic algorithm based on a utility ratio, an admission priority sequence of the channel is generated, and a basis is provided for maximizing the system bearing capacity. In the deployment stage, firstly, a server for the channel is selected according to the principle ofminimum total delay for initial placement. Adaptive load balancing is carried out, and the load-delay model of the server is combined; a part of CPU load is released to the terminal so as to realize load-delay balancing between the terminal and the cloud end.

Description

technical field [0001] The invention belongs to the technical field of multimedia mobile cloud computing, and in particular relates to a method for deploying integrated video live broadcast channels in a mobile cloud computing environment. Background technique [0002] With the rapid development of the Internet, especially the mobile Internet, multimedia applications represented by online video and audio applications have gradually become an important part of the mobile Internet. It has been developed rapidly and has been widely promoted and applied. End users can use common mobile devices such as smart phones or tablet computers to enjoy multi-channel video interactive application system services anytime and anywhere. However, compared with resource-consuming video communication applications, mobile terminal devices still have various terminal performance bottlenecks. The various performance limitations of terminal devices are undoubtedly for mobile applications that consum...

AI Technical Summary

Problems solved by technology

However, the traditional channel access deployment does not focus on improving the resource utilization efficiency of the system to maximize the carrying capacity. The traditional "boxing" thinking only considers meeting the channel load requirements, and focuses on individual

In terms of cloud load coordination, there are many existing inventions on resource threshold limitation, but the main direction is to consider the resource status control of the target server through the scheduling and migration of load applications in server clusters, and most of these methods face stability. and the problem of service quality degradation, and did not solve the problem of server overload from the perspective of structural adjustment of the channel itself

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