Assessment on vm placement and vm selection strategies

Abstract

Cloud Computing is captivating many organizations and individuals because it provides a framework where the user can access diverse resources such as applications, storage capacity, network bandwidth, and many resources. Cloud users rent the resources that they need from the cloud provider. The optimum allocation of resources to the users in a dynamic environment is a major challenge for the cloud providers. Virtualization technology in Cloud enables allocation of resources to the end user applications in Cloud by hosting numerous Virtual Machines on a single host. There are number of approaches to decide the placement of Virtual Machines to the various hosts. As numbers of applications are submitted by the users, some of the hosts become overloaded and some become under loaded. As a result, some of the user applications hosted on a Virtual Machine of one host needs to be transferred to another Virtual Machine of another host. The migration of Virtual Machines from one host to another needs to be minimized to improve the response time, turnaround time for an end user application. This paper addresses the various VM placement and VM selection algorithms and their scope of improvement.