Profit - Aware Policy Scheduler ( PAPS ) for Resource Allocation in IaaS Clouds

Infrastructure as a Service (IaaS) is a type of Cloud Computing service delivery model that provides compute, storage, and network resources to the consumers in an on demand manner. In IaaS cloud environment, resource allocation is one of the complex tasks due to the heterogeneous nature of cloud resources and dynamic job requirements to run the jobs. However, the IaaS cloud resource allocation mechanism should consider both the customer’s profit as well as provider’s profit, while allocating resources to the jobs. Henceforward, in this research work we proposed a Profit-Aware Policy Scheduler (PAPS) incorporated with two scheduling policies namely Provider Profit-Aware Scheduling Policy (P-PASP) and User Profit-Aware Scheduling Policy (U-PASP). Finally, we have integrated the PAPS with Cloud Scheduler to efficiently handle the user’s job requests and allocate the Cloud resources to the job requests in an effective way. It is simulated to prove the effectiveness of the proposed research work by calculating the user’s profit, provider’s profit, and customer’s satisfaction. Index Terms — Cloud Computing, Infrastructure as a Service, Resource Allocation, Profit Maximization, Customer Satisfaction.