Algorithms for Classification of VM migration scheme Inner Cloud Data Centre

Abstract

Cloud computing has become increasingly popular among the widely deployment of multiple cloud infrastructures. Infrastructure-as-a-service (IaaS) cloud computing replaces bare hardware. The user will use cloud virtual machines (VM) to fulfill your computing needs. In this paper, we investigate how to reduce fragments of resources and the resources allocated in data centers. Therefore, a new scheme for estimating the VM migration to effectively reduce resources fragments the resources is proposed. The scheme improves the utilization of servers in data centers. Moreover, our proposed scheme can be applied to multiple resources. Among software components in the IaaS cloud stack, the module resource migration is very important as selecting appropriate virtual machine and place to run virtual machines. This paper focuses on the study and classification algorithms used in module resource migration. Questions of how to apply these algorithms are also discussed