Titlebook: Economic Models for Managing Cloud Services; Sajib Mistry,Athman Bouguettaya,Hai Dong Book 2018 Springer International Publishing AG 2018

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Introduction,igher and cheaper network bandwidth and commoditization of data storage and computational resources provide significant economies of scale. Large companies such as Amazon, Google, Microsoft, and IBM are providing cloud solutions to consumers [21].

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Long-Term IaaS Composition for Stochastic Requests,e ability of an application to automatically adjust the infrastructure resources usage to accommodate varied workloads and priorities [70]. Consumers can extend or shrink the size of services according to their workloads. A flexible pricing model allows consumers to pay only for what they use [8].

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,Service Providers’ Long-Term QoS Prediction Model,et indicates that most providers are making profits while maintaining service level agreements. Conversely, a lower performance index of a provider may suggest the provider should find some alternative solutions to become competitive and profitable in the market.

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Conclusion,ally viable cloud service infrastructure may boost the confidence of investors on their Return on Investments (ROI). In this respect, we propose an IaaS service composition framework to maximize long-term profits using quantitative and qualitative economic models.

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https://doi.org/10.1007/978-3-319-73876-5Cloud Computing; Cloud Services; Infrastructure as a Service (IaaS); Long-term Service Composition; Econ

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978-3-319-89260-3Springer International Publishing AG 2018

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