Paper Title
Dynamic Renting and Cloud Environment For Guaranteed Quality of Service and Profit Maximization

Cloud computing is a demanding technology to share resources like hardwares, software applications, databases and storage over the internet. Our contribution in this paper is to create dynamism in renting resources based on deadline in dynamic cloud environment. The service provider resources are reconfigurable with different parameters like number of servers, speed of servers and deadline for the analysis of profit. To achieve dynamic service M/M/m+D queuing model is used and factors that effect the profit values like average charge, the ratio of requests that need temporary servers are analyzed. Optimal configuration problem of service provider for profit maximization is formulated. Result analysis shows service profits obtained for dynamic renting of resources in dynamic cloud environment is high compared to static cloud environment. Index Terms— Service provider, Dynamic Renting, Dynamic cloud environment, Static cloud environment, Profit maximization.