Maximizing the revenue with client classification in Cloud Computing market

Abstract

Cloud computing systems rent resources on demand, pay-as-you-go basis, and multiplex many users on the same physical infrastructure. The terms of the QoS to be provided as well as the economic conditions are established in a SLA. The revenue of cloud provider can be improved by increasing the profit yielded by the incoming task. The profit can be increased by maximizing the price amount of the resources while they are provided to the cloud clients according to the demand, overselling of the unused resources which are held by other clients, using hybrid pricing concept and booking and allocation model. The client classification is done by the cloud provider for providing priorities according to the relationship between client and provider and the QoS that the client purchases. So the cloud provider will consider the affinity value and purchased QoS when allocating the resources for the client's task.