Optimization of Cost in Cloud Computing Using OCRP Algorithm
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2013 by IJETT Journal|
|Year of Publication : 2013|
|Authors : A.Poobalan , V.Selvi|
A.Poobalan , V.Selvi. "Optimization of Cost in Cloud Computing Using OCRP Algorithm". International Journal of Engineering Trends and Technology (IJETT). V4(5):2105-2107 May 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.
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 res ource 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 long - term plan, e.g., four stages in a quarter plan and twelve stages in a yearly plan. The d emand and price uncertainty is considered in OCRP. In this paper, different approaches are measured including deterministic equivalent formulation, sample - average approximation, and Benders decomposition in OCRP algorithm.
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Virtualization, virtual machine placement, Deterministic equivalent formulation, Sample - average approximation, Benders decomposition .