Dynamic Expansion Geo-Dispersed in Cloud Data Centers for Maximization in Financial Benefits

Cloud computing has emerged in recent years as one of the most interesting developments in technology. The adoption and deployment of cloud computing platforms have many attractive benefits, such as reliability and robustness geographically distributed datacenters. Now a day’s cloud users are increasing rapidly. In existing system single data center is there. Each and everyone can store their data in that datacenter means it is very difficult to maintain and the user don’t have a required resources. Due to this one user and csp both are not silicified. To overcome this problem we move to proposed model. In this paper, we present a cloud system model for the cloud provider to dynamically expand the scale of geo-distributed date centers. In our model, the cloud provider rents hardware resources from other resource owners (ROs), who have redundant resources and are willing to lease them. We propose an optimization problem for the cloud provider to maximize the profit, and carefully solve it in different conditions.