RESOURCE ALLOCATION PLANNER FOR DISASTER RECOVERY (RAP-DR) BASED ON PREEMINENT RESPONSIVE RESOURCE ALLOCATION USING PARAMETER SELECTION OF VIRTUAL MACHINES OR CLOUD DATA SERVER

Off-site information protection such as replicating critical information to a physically remote site is maybe the most major technique to guarantee fault-tolerance and empower disaster recovery. In this paper present RAP-DR: a Resource Allocation Planner for Disaster Recovery. RAP-DR gives an ideal method for recovering critical business data into Data Centers (DC's) over a few Geographic areas based on the Preeminent Responsive Resource Allocation using Parameter Selection(PRRAPS) approach utilizing Feature (Parameter) Selection Methods. The main objective of this method is to achieve the utilization of the node while allocating the resources. Thus to construct an optimized resource allocation model by enhancing the IGTRAP of the adaptive resource allocation system with the parameter selection is designed. The enhanced IGTRAP-PRRAPS is employed, to attain the optimized resource allocation scheme that determines the optimal virtual machine to achieve the resource effectively hence, it reduce the resource allocation time.