Optimization of Cost in Cloud Computing Using OCRP Algorithm
Journal Title: INTERNATIONAL JOURNAL OF ENGINEERING TRENDS AND TECHNOLOGY - Year 2013, Vol 4, Issue 5
Abstract
In cloud computing, cloud providers can offer cloud consumers two provisioning plans for computing resources, namely reservation and on-demand plans. Reservation plan is cheaper than that provisioned by on-demand plan, since cloud consumer has to pay to provider in advance. By using reservation plan, the consumer can reduce the total resource provisioning cost. Even though, the best advance reservation of resources is difficult to be achieved due to uncertainty of consumer’s future demand and providers’ resource prices. Due to this problem, an optimal cloud resource provisioning (OCRP) algorithm is proposed by formulating a stochastic programming model. The OCRP algorithm can provision computing resources for being used in multiple provisioning stages as well as a longterm plan, e.g., four stages in a quarter plan and twelve stages in a yearly plan. The demand and price uncertainty is considered in OCRP. In this paper, different approaches are measuredincluding deterministic equivalent formulation, sample-average approximation, and Benders decomposition in OCRP algorithm
Authors and Affiliations
A. Poobalan#1 , V. Selvi
Keywords
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