Economic Resource Provisioning Techniques Using OCRP Algorithm In Cloud

The cloud computing provides users an efficient way to allocate the computing resources to the cloud consumers by providing them two resource provisioning plan namely, reservation and on-demand plan. The resource provisioned by reservation plan is cheaper than that of the on-demand plan but it is difficult to achieve the best advance reservation of resource due to uncertainty of consumer’s future demand and provider’s resource prices. To solve this problem an Enhanced optimal cloud resource Provisioning algorithm is proposed by formulating a stochastic programming model. The Enhanced Optimal Cloud Resource Provisioning algorithm can provide Computing resources for being used in multiple provisioning stages as well as a long-term plan. The demand and price uncertainty is considered in Enhanced Optimal Cloud Resource Provisioning. Here, different approaches are considered to obtain the solution of the Optimal Cloud Resource Provisioning algorithm namely, deterministic equivalent formulation, sample-average approximation and Benders decomposition.