A New Model for Virtual Machine Migration in Virtualized Cluster Server Based on Fuzzy Decision Making

Date Added: Feb 2010
Format: PDF

In this paper, the authors show that performance of the virtualized cluster servers could be improved through intelligent decision over migration time of Virtual Machines across heterogeneous physical nodes of a cluster server. The cluster serves a variety range of services from Web Service to File Service. Some of them are CPU-Intensive while others are RAM-Intensive and so on. Virtualization has many advantages such as less hardware cost, cooling cost, more manageability. One of the key benefits is better load balancing by using of VM migration between hosts. To migrate, they must know which virtual machine needs to be migrated and when this relocation has to be done and, moreover, which host must be destined.