OCRP in Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment

Cloud Computing is an emerging concept combining many fields of computing. It provides services, software and processing capacity over the internet. Deploying Virtual Machines in bulk is a very tedious and cumbersome job. Deploying a Virtual Machines on a Data Center involves various tasks such as installing the operating prepping the machine for a system ,adding a system to the domain and giving proper access to user. Cloud computing consists of two provisioning plan for allocating resources in cloud. They are Reservation plan and On-demand plan. Reservation plan is long term plan and Ondemand plan is a short term plan. In On-demand plan the consumers can access resources at the time when they need. In Reservation plan the resources could be reserved earlier. Hence the cloud providers could charge the resources before consumers could use it. For on-demand pricing is done as payper-use basis but in reservation plan pricing is charged by onetime fee. With Reservation plan consumers could utilize the computing resources in a much cheaper amount than ondemand plan. The proposed scheme has two important features. (i) Virtual Machine Deployment Algorithm based on the Hungarian Algorithm to support a concurrent Deployment with multiple Virtual Machine instance and monitoring the Resources (ii) Implementation of Optimal Cloud Resources Provisioning to make an optimal decision of Resource Provisioning in the Cloud Environment. Experimental results show the significant improvement in load balancing and reduce the reservation cost and expending cost.