A Threshold Band Based Model for Automatic Load Balancing in Cloud Environment

Virtualization technology used in Cloud computing shares the underlying hardware and provides computing resources through virtual machines (VM). VMs provide isolation among different operating systems.Resource utilization could be improved by balancing the loads on the cluster which can be achieved through dynamic migrations of virtual machines wherever desirable.Manual load balancing becomes very tedious, since an administrator has to continuously monitor the system to determine which VMs to be migrated across the cluster.Maximum resource utilization can be achieved using Automatic load balancing across the cluster by doing dynamic migrations of virtual machines. It is very important in such migrations of VMs to decide when to move which VM to what physical machine. Random or naive migrations may result into degradation in overall performance of the cluster. The proposed solution involves a model which dynamically determines overloaded hosts and chooses the best VM and destination host for migration to achieve better load balanced environment.