Survey on Resources Provisioning in Cloud Systems for Cost Benefits

Abstract

Cloud providers can offer cloud consumers two provisioning plans for computing resources, namely reservation plan and on-demand plan. In generally, the cost of utilizing computing resources provisioned by reservation plan is cheaper than on demand plan. There are many kinds of resource provisioning options available in cloud environment to reduce the total paying cost and better utilizing cloud resources. However, the best advance reservation of resources is difficult to be achieved due to uncertainty of consumer’s future demand and providers’ resource prices. To address this problem Probabilistic based cloud resource provisioning (PCRP) algorithm is proposed by formulating a Probabilistic model. In this paper survey the different provisioning options andalgorithm. Compare the existing provisioning algorithms with analysis based on cost, availability, uncertainty parameters.