Description

• Successful development of cloud computing paradigm necessitates accurate performance evaluation of cloud data centers. • In exact modeling of cloud centers is not feasible due to the nature of cloud centers and diversity of user requests, • A novel approximate analytical model for performance evaluation of cloud server farms and solve it to obtain accurate estimation of • The complete probability distribution of the request response time and other important performance indicators. • The model allows cloud operators to determine the relationship between the number of servers and input buffer size, on one side, and • The performance indicators such as mean number of tasks in the system, blocking probability, and probability that a task will obtain immediate service, on the other.