Performance Evaluation of Deadline Aware Multi Stage Scheduling in Cloud Computing

Cloud Computing provides the computing environment where different resources, infrastructures, development platforms and software are delivered as a service to customers virtually on pay-as-use basis. In cloud computing a job request may requires m number of resources types to complete its tasks. Scheduling of cloud resources for end users is an important task in cloud computing. In this paper we have proposed Multi Stage scheduling in cloud computing to schedule Virtual Machines (VM) for the requested jobs received from customers. We considered the model that a job requires 'm' different types of VM's in a sequence to complete its task. This model also extended for deadline aware Multi Stage scheduling with respect to response time and waiting time. We developed and analyzed a model for evaluation of average turnaround time, average waiting time and violation in deadlines when compared with First Come First Serve (FCFS), Shortest Job First (SJF) and Multi Stage Scheduling strategies.