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In this paper, the authors design, develop, and simulate a cloud resources pricing model that satisfies two important constraints: the dynamic ability of the model to provide a high satisfaction guarantee measured as Quality of Service (QoS) - from users perspectives, profitability constraints - from the cloud service providers perspectives. They employ financial option theory and treat the cloud resources as underlying assets to capture the realistic value of the Cloud Compute Commodities (C3). They then price the cloud resources using their model.
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