Dynamic Resource Allocation Using VM for Cloud Computing Environment

As cloud computing becomes more and more general, kind the economics of cloud computing becomes censoriously important. To maximize the profit, a cloud service provider should understand both service charges censoriously important. To maximize the profit, a cloud service provider should understand both service charges environment is studied. The pricing model takes such factors into considerations as the amount of a service, the workload of an application location, the formation of a multi-server system, the service-level agreement, the satisfaction of a consumer, the quality of a service, the disadvantage of a low-quality service, the cost of renting, and the cost of energy depletion, and a service provider’s margin and profit. The approach is to treat a multi-server system as an M/M/m queuing model, such that the optimization problem can be formulated and solved critically.Two server speed and power consumption models are measured, namely, the idle-speed model and the constant-speed model. The probability mass function of the waiting time of a newly arrived service request is derived. The expected service charge to a cloud service request is considered. The expected remaining business gain in one unit of time is gained. Numerical calculations of the optimal server size and the optimal server speed are established.