Abstract
Over the last few years, the rate of adoption of cloud computing and specifically managed cloud hosting and migration has accelerated significantly. Consequently, many enterprises/clients choose to migrate their local IT workload to cloud platforms. Such a migration consists in considering a cloud offering and come up with a cloud solution. In industrial settings, cloud designer may spend one day or so to come up with an acceptable cloud solution with a reduced cost/price. It is obvious that such a process is error prone, is time consuming and does not guarantee an optimal solution, e.g. a solution with a minimum cost/price. In this paper, we propose an approach and an optimization approach for cloud solution design that satisfy client requirements and cloud offering constraints and producing a solution, if there is any, with a minimum cost in a reasonable time. In addition, we present the implementation of our optimization method as well as two baseline methods and compare the results of applying all three methods on realistic data.
Keywords
- Cloud solution design
- Cloud computing
- Optimization
- Integer programming
- Operations research
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Megahed, A., Nazeem, A., Yin, P., Tata, S., Motahari Nezhad, H.R., Nakamura, T. (2017). An Optimization-Based Approach for Cloud Solution Design. In: , et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10573. Springer, Cham. https://doi.org/10.1007/978-3-319-69462-7_47
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DOI: https://doi.org/10.1007/978-3-319-69462-7_47
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