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IoT-Big Data Software Ecosystems for Smart Cities Sensing: Challenges, Open Issues, and Emerging Solutions Read chapter Read first chapter

2018 | OriginalPaper | Chapter

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

Authors : Frank Fowley, Claus Pahl

Published in: Advances in Service-Oriented and Cloud Computing

Publisher: Springer International Publishing

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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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previous chapter Application Development and Deployment for IoT Devices
next chapter A DMN-Based Approach for Dynamic Deployment Modelling of Cloud Applications
Footnotes
2
We have taken the concrete figures from recent (May 2016) Microsoft Azure pricing models.
 
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Metadata
Title
Cloud Migration Architecture and Pricing – Mapping a Licensing Business Model for Software Vendors to a SaaS Business Model
Authors
Frank Fowley
Claus Pahl
Copyright Year
2018
Book
Advances in Service-Oriented and Cloud Computing

Print ISBN: 978-3-319-72124-8

Electronic ISBN: 978-3-319-72125-5

Copyright Year: 2018

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

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