Efficient Mapping for VM Allocation Scheme in Cloud Data Center

Abstract

The allocation of virtual machines in the cloud data center has been a challenge in recent years. The needed resources for virtual machine (VMs) allocation map to the available resources of physical machines (PMs). The efficient allocation of the virtual machines is one of the optimization problems in order to resolve the underutilization of resources in cloud data center. The recently studies emphasized this optimization problem. This paper presents the proposed efficient mapping scheme of virtual machines (VMs) allocation in the cloud data center and then evaluates the efficiency of the proposed allocation scheme. In the presented mapping scheme, the VM allocation problem solved as Bin-packing with BestFit algorithm (BF) and the binary search concept is integrated. The efficiency of the proposed mapping scheme of VMs allocation is verified through the CloudSim simulator. According to the experiment results, the proposed binary search based VMs allocation requires less processing time than the existing one.