As cloud computing turns out to be more and more popular, understanding the economics aspects of cloud computing turns out to be critically important. To maximize the profit, a service provider ought to understand both service charges and business costs, and how they are determined by the attributes of the applications and the configuration of a multi-server system. The issue of optimal multi-server configuration revenue driven boost in a distributed computing condition is examined. Our evaluating model brings such factors into contemplations as the measure of an administration, the workload of an application situation, the setup of a multi-server system, the service level agreement, the satisfaction of a customer, the quality of service, the penalty of a low-quality service, the cost of renting, the cost of energy utilization, and a service providers margin and profit.
Our approach is to regard a multi-server system as an M/M/m queueing model, to such an extent that our optimization issue can be defined and understood analytically. Two server speed and power utilization models are considered, to be specific, the sit out of gear speed display and the constant speed model. The probability density function of the waiting time of a newly arrived service request is derived. The expected service charge to a service request is calculated. The expected net business gain in one unit of time is obtained. Numerical calculations of the optimal server size and the optimal server speed are demonstrated.