CASE STUDY ON VM ALLOCATION POLICY IN CLOUD DATACENTERS

Abstract

Efficient Virtual Machine (VM) allocation is a critical aspect of cloud datacenter management, directly influencing energy consumption, performance, and cost. This case study investigates and compares two VM allocation strategies—Round Robin and Random alloca- tion—implemented using the CloudSim Plus framework. The study simulates multiple hosts, virtual machines, and cloudlets to evaluate performance under each policy. The Round Robin approach ensures balanced load distribution across hosts but tends to increase power usage due to higher host activation. In contrast, the Random allocation policy demonstrates less pre- dictable load distribution, occasionally leading to underutilization of resources. The findings highlight the importance of selecting an appropriate VM allocation policy to achieve an optimal balance between energy efficiency and computational performance in cloud environments.