A Novel Resource Provisioning Approach for Virtualized Environment

The cloud computing is an emerging technology that relies on underlying resource provisioning, which is achieved through virtualization. Virtualization is commonly implemented with Hypervisor to handle Virtual Machine (VM). In this paper, the decision engine is used to provision the resource, which continuously learns take action to change the amount of provisioned resources according to the current performance status of the system. The Q-learning algorithm mainly focuses on provisioning the resource elastically to the customer based upon the workload and best fit is used to allocate the resources. This concept has been used to increase performance and reduces response time.