虚拟化云计算数据中心资源节能调度算法研究

In order to address the current time-consuming process of cloud computing data center resource scheduling, high energy consumption, and low data transmission accuracy, we proposed a VR immersive virtual cloud computing data center resource energy-saving scheduling algorithm. Construction of cloud computing data centers resource sampling model, combined with VR (Virtual Reality) interactive device outputs, transformed, and dispatched central resources, extracted the characteristic quantities of the association rules of the central resources, and used embedded fuzzy clustering fusion analysis methods to reconstruct the central resources three-dimensionally to establish virtual cloud computing data center resources. The information fusion centers to adopt a decision correlation analysis method and combines differentiated fusion feature quantities to realize data center resource scheduling, and realizes real-time energy-saving scheduling for virtualized cloud computing data center resources. The experimental results show that the data transmission accuracy of the proposed algorithm is high, the time cost is short and the energy consumption is low, so it has a good application value in the resource scheduling of virtual cloud computing data center.