Paper Title
A Comparative Study Of Vm Placement Algorithms In Cloud Computing Environment
Abstract
Cloud computing delivers infrastructure, platform, and software (application) as services. In Infrastructure-as-a-
Service (IaaS) service providers generally combine several physical machines and different hardware components to form a
single infrastructure. Virtual machine monitors allows a single physical machine to hold many virtual machines hence virtual
machines can be employed as computing resources for IaaS. Thus, efficient virtual machine scheduling is necessary in cloud
computing environment for increasing resource utilization and efficient use of applications in virtual machine. VM
scheduling helps in efficient sharing of virtual machines to available datacenters and these scheduling policies help to
increase the cloud performance. Different allocation policies are available and they have their own advantages and
limitations. In this paper we propose a comparative study for different types of VM scheduling algorithms and are
provisionally discussed and analyzed. Then we concluded that the development of an efficient and enhanced algorithm is
needed for scheduling the VMs with the perspective of QOS constraints and enhance user performance of VMs.