Resource Scheduling Policy for Dynamic Virtual Machine Allocation in Cloud (original) (raw)

Cloud computing emerges as a new computing paradigm which aims to provide reliable, customized and guaranteed computing dynamic environment for end-users. The consumers of the cloud and the data center are widely distributed. Each data center vary in their resource availability they provide. In cloud computing environment, the request from the customer takes a long time for the cloud system to identify the appropriate data center. As the workload of any cloud system depends on the task that is running on the system. This paper defines the tasks based on the application workloads and virtual machine monitor(VMM) manages the allocation of underlined resources. A novel approach to resource scheduling policy are considered, to configure the resources and dynamically allocate to the virtual machines. Several performance metrics are considered to fine grain the allocation mechanism. Finally, we compare our scheduling policy with Round Robin algorithm thereby, improving the performance and reliability of the system.