Auction-Based Resource Allocation Mechanism in Federated Cloud Environment: TARA

The growing market of cloud computing resulted in increased demand for cloud resources and it will become difficult for individual service providers (SPs) to fulfill all resource requests. That leads to a situation where two or more SPs may form a group and share the resources. Now, due to the formation of more than one federations by different cloud providers, it may be difficult for users to select a suitable federation who can deliver cloud services at a fair price. In this context, it is necessary to have a framework that will efficiently allocate resources of cloud federations to the users at a fair price. In this paper, we propose a multi-unit double auction mechanism called TARA that can be used to efficiently choose cloud federations for users from which they can get resources. Here, we consider a multi-seller and multi-buyer double auction mechanism for heterogeneous resources. TARA achieves some important properties like truthfulness, individual rationality and budget balance for both buyers and sellers. TARA is also computationally efficient and possess high system efficiency. The simulation results also show that total utility of buyer is more than some existing double auction mechanisms.