In thispaper presents theCloudproviderst o pr o vi d e cloudconsumersf o r twoprovisioning plansare On-Demand 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 on-demand plan is higher than reservationplan. 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 thereservation technique for under over provisioning (RTUOP) algorithm.The RTUOP algorithm is used to multi provisioningstages of long-term plan. The OCRP mainly considered in the demand and price uncertainty. The solutions of the RTUOP algorithm areconsidered including benders decomposition deterministic equivalent formulationand stochastic integer programming. Toovercome this problem to applied by the scenario reduction techniques (SRT) to reduce the number of scenariosand successfully minimize total cost of resource provisioning in cloud environments
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