Optimization method for dynamic resource allocation of virtual machines based on improved particle swarm optimization
In the cloud computing environment,the virtual machine requirements vary,and the physical host resource status also affects the resource allocation.Traditional methods will ignore the quantification of host resources,resulting in unreasonable al-location.Some physical host resources may be overallocated,while other host resources are idle.Therefore,this study proposed the dynamic resource allocation optimization method based on the improved particle swarm,the accurate resource allocation list,and uses the linear regression model of machine learning to predict the dynamic resource allocation and realize efficient and flexible al-location.The experimental results show that this method not only ensures the success rate of dynamic resource scheduling,but also effectively reduces the resource demand,and provides a new idea for dynamic resource optimization.
万方数据
