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Cloud Migration Architecture and Pricing – Mapping a Licensing Business Model for Software Vendors to a SaaS Business Model

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Advances in Service-Oriented and Cloud Computing (ESOCC 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 707))

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Abstract

Cloud migration is about moving an on-premise software system into the cloud. Many approaches exist that describe the technical migration analysis and the architectural migration. Equally, cloud cost models have been investigated. What we aim to investigate here is to link architecture and software utilisation to costing and business models. We specifically look at software vendors that use the cloud to provide their solutions to customers. They might face the challenges to migrate an in-house developed and provided product onto a cloud IaaS or PaaS platform, while also mapping a licensing model onto a cloud monetisation model. We provide here an experience report. This is based on experience with five migration case studies. We discuss the migration process under consideration of cost aspects, covering both income and expenses in the cloud in relation to the cloud delivery model chosen. We focus on one of the case studies to illustrate the concepts and observations.

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Notes

  1. 1.

    http://www.davidchappell.com/writing/white_papers/How_SaaS_Changes_an_ISVs_Business--Chappell_v1.0.pdf.

  2. 2.

    We have taken the concrete figures from recent (May 2016) Microsoft Azure pricing models.

  3. 3.

    https://apprenda.com/library/software-on-demand/saas-billing-pricing-models/.

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Acknowledgement

This work was partly supported by IC4 (the Irish Centre for Cloud Computing and Commerce), funded by EI and the IDA.

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Correspondence to Claus Pahl .

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Fowley, F., Pahl, C. (2018). Cloud Migration Architecture and Pricing – Mapping a Licensing Business Model for Software Vendors to a SaaS Business Model. In: Lazovik, A., Schulte, S. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2016. Communications in Computer and Information Science, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-72125-5_7

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  • DOI: https://doi.org/10.1007/978-3-319-72125-5_7

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