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Research Article Open Access
Virtualization reduces the more Physical Machine (PM) requirement by sharing the resources which are utilized in cloud computing. Cloud service providers allocate a Virtual Machine (VM) to end users based on request by sharing the physical resources, but Machine gets overloaded if there is not enough or more VM resources shared to Virtual Machines on the average resources needed for utilizing the servers, shared to be able to handle the additional demand. In order to overcome the system load due to more Virtual Machine resources sharing on a single machine is automated the load balancing of virtual machine system by monitoring the High Load Prediction scheme and Resource Predication scheme. When the Overload identified Virtual Machines are migrated to another available Physical Machine. Load Balance monitoring system can bring down the low utilized or less resource usage Physical Machine by migrating Virtual Machine resources to another physical machine in order to save energy. This energy computing can be applied through low load predication scheme. To maximize the performance profit machine resources to VM should balanced and optimized. This paper proposes and analysis the utilization of the load balancing scheme and energy efficiency scheme for achieving effective optimal performance.