Paper Title
Performance Analysis Of Cloud Computing Centers By Breaking-Down Response Time

Cloud computing is the emerging field of the computer science and it is occupying the most of the areas in computers. It delivers on the emerging business essentials for agile, flexible and time-to-value performance. The performance and availability of cloud applications has a noticeable impact on user adoption and revenue of the cloud. The work on the performance analysis of the cloud using M/G/m/m+r queuing system till date gives the novel and approximate analytical model. It gives the relationship between the input buffer size and number of servers available. It also gives the performance indicators like mean number of tasks in the system, task blocking probability and immediate service probability. In existing model, the performance can be improved by breaking down the response time in the setup, execution, return and clean up time. In this paper we are proposing a solution for this constraint. This approach also will give the all performance indicators like above model.