In this paper presents the Cloud providers to provide cloud consumers for two provisioning plans are OnDemand plan and Reservation plans. Because it provides users an efficient way to allocate computing resources are dynamically to meet demands. Normally, cost of utilizing computing resources provisioned by ondemand plan is higher than reservation plan. Because reservation plan can provide offer of consumer can reduce the total resource provisioning cost. It can be achieved in Uncertainty of consumer’s future demand and provider’s resource prices. To control the cloud resources adaptively based on the reservation technique for under over provisioning (RTUOP) algorithm. The RTUOP algorithm is used to multi provisioning stages of longterm plan. The OCRP mainly considered in the demand and price uncertainty. The solutions of the RTUOP algorithm are considered including benders decomposition deterministic equivalent formulation and stochastic integer programming. To overcome this problem to applied by the scenario reduction techniques (SRT) to reduce the number of scenarios and successfully minimize total cost of resource provisioning in cloud environments.
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