EFFICIENT RESOURCE UTILIZATION APPROACH IN CLOUD COMPUTING USING OPTIMIZED DIRECT RESOURCE PROVISIONING
In the cloud, users can access large pools of distributed computing resources and storage resources on-demand and anywhere there is an internet connection. In order to manage these many assets efficiently, scheduling methods need to be time-saving. In addition to optimizing efficiency and fairness, the perfect scheduler will improve quality of service (QoS). Large-scale distributed systems require scheduling methods. Now the cloud customers are charged based upon the amount of resources they are consumed or held in reserve. Usage of data in cloud provisioning for different user should be cost effective. Customized usage of storage data with application and allocation to the user is a challenging task. Present work focused on the optimal allocation on storage-based application environment with low memory utilization. An optimized cost-effective based resource provision in cloud (OCRPC) algorithm has been proposed in the present work to utilize the cloud space usage at minimal processing. The technique tested under VM (virtual machine) with different user inter phase and compare with existing techniques. The proposed algorithm given 15-20% better results when compared with existing HMA, DIA and DRP.
Cloud, OCRPC, VM, QOS, Cost, Resource Utilization.