Method for optimizing Configuration of Cloud Platform Resources Based on Virtual Machine

For the current cloud computing calculation method of the virtual machine infrastructure iaas layer, the calculation method is long in calculation, high in cost, low in computational efficiency, and poor in resource utilization, directly affecting the effective implementation of network resources and on computer memory, CPU, network cache, etc. This paper proposes an algorithm for maximizing resource utilization of virtual machine platforms, which greatly improves resource utilization, implements user tasks, and dynamically allocates virtual resources on-demand in virtual machines. This paper studies how to maximize the utilization of resources, the highest utility of resources in CPU-intensive, network-intensive situations, based on different user priorities, high, medium, and low network configurations, and the number of virtual machines. Greatly improve the utilization of resources, realize user tasks, and dynamically distribute virtual resources on demand in virtual machines. Based on the grid zoning cloud service, this paper proposes to make better use of the background resources, and utilize the dynamic distribution characteristics of the virtual machine to discuss the situation of resource utilization and reduce the time and increase utilization.