Minimizing Execution Time of Cloudlets through Optimal Allocation of Virtual Machines Using Genetic Algorithm

The features like on-demand self service, rapid elasticity, measured service, broad network access has increased the popularity of cloud computing and has motivated the business organization to adopt the cloud as part of their IT services and solutions. Various statistics and survey has proved that the user-base of the cloud is increasing day by day, which has enforced the cloud service providers to ensure the high availability and reliability of their services to maintain good credibility in the market. The cloud is powered by the virtualization technology, which makes it possible to deliver the computing services in the form of Virtual Machines (VMs). The efficiency of any cloud system greatly depends on its VM allocation policy, which is the policy adopted by cloud service provider to allocate the virtual machine to the available physical server. This paper presents the proposed technique of using genetic algorithm to find the optimal solution to allocate and map the virtual machines to the hosts and hence maximizing the utilization of resources. The experimental analysis carried out on CloudSim tool has proved that the proposed technique is more efficient and can provide good scope for future research.