Details

Autor(en) / Beteiligte

• Junwei Cao
• Kai Hwang
• Keqin Li
• Zomaya, A. Y.

Titel

Optimal Multiserver Configuration for Profit Maximization in Cloud Computing

Ist Teil von

• IEEE transactions on parallel and distributed systems, 2013-06, Vol.24 (6), p.1087-1096

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Quelle

IEL

Beschreibungen/Notizen

• As cloud computing becomes more and more popular, understanding the economics of cloud computing becomes critically important. To maximize the profit, a service provider should understand both service charges and business costs, and how they are determined by the characteristics of the applications and the configuration of a multiserver system. The problem of optimal multiserver configuration for profit maximization in a cloud computing environment is studied. Our pricing model takes such factors into considerations as the amount of a service, the workload of an application environment, the configuration of a multiserver system, the service-level agreement, the satisfaction of a consumer, the quality of a service, the penalty of a low-quality service, the cost of renting, the cost of energy consumption, and a service provider's margin and profit. Our approach is to treat a multiserver system as an M/M/m queuing model, such that our optimization problem can be formulated and solved analytically. Two server speed and power consumption models are considered, namely, the idle-speed model 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.