基于模糊算法的视频云平台控制仿真

采用以往传统方法对视频云平台进行控制,对视频云平台进行控制,提升平台的运行效果,但传统方法的资源配置利用率均较低,所以提出一种基于模糊算法的视频云平台控制方法。利用优化后模糊算法建立视频云平台的云资源预测模型;通过该模型对视频云平台进行资源配置,实现对视频服务的优化管理,进而完成视频云平台控制。将上述方法与传统方法的资源配置利用率进行对比,仿真结果表明,上述方法的带宽、内存与CPU的资源配置利用率均高于传统方法。

Control Simulation of Video Cloud Platform Based on Fuzzy Algorithms

The traditional method to control the video cloud platform can improve the performance of platform.However,the resource allocation availability of traditional method is low.Therefore,a method of controlling video cloud platform based on fuzzy algorithm was proposed.Firstly,the optimized fuzzy algorithm was used to build the cloud resource prediction model of video cloud platform.Through this model,the resource of the video cloud platform was allocated to achieve the optimal management of video service,so that the control of video cloud platform was completed.Simulation results show that the resource allocation availability of bandwidth,memory and CPU in the proposed method is higher than that of the traditional method.