An integrated approach for cloud computing service selection and cost estimation

Abstract

Selecting suitable cloud services and estimating future cloud costs for organizations with a large set of software services is a challenging task. To achieve this, one needs to understand all software applications' cloud service configuration requirements. Further, one needs to estimate how the applications' requirements change over time, e.g., due to scaling with a growing number of application users. Then, one needs to compare for different cloud providers the costs over time of setups matching the requirements. This task, if done manually, is laborious, error prone, and has to be repeated when the organization's business or application requirements change.

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