Probabilistic Goodness Virtual Machine Resource Allocation Based on Cloud Computing SME-FFD Algorithm

Abstract

Aiming at the problem of NP hard optimization in the process of cloud computing Virtual Machine(VM) resource allocation,a new algorithm based on cloud computing Simulated Evolution-First Fit Decreasing(SME-FFD) is proposed.The optimal degree evaluation scheme of virtual machine resource allocation is put forward by use of the strong ability of climbing of simulated evolution,and for which the choice of virtual resource allocation,evaluation and sorting process is carried out.The FFD rule is adopted to the sort of virtual machine and physical host resource allocation to improve the efficiency and effectiveness of resource allocation.By comparing the experimental results with the CloundSim grid laboratory and Gridbus cloud simulation platform,it shows that the proposed algorithm is more than 55% of CPU usage,memory usage rate can reach more than 60%,which can improve the utilization rate of the host resources,and achieve the purpose of energy saving.