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The Benefits of Using Experimental Exploration for Cloud Migration Analysis and Planning

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Cloud Computing and Service Science (CLOSER 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 864))

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Abstract

Migration software systems to the cloud causes challenges. This applies especially for companies that do not have sufficient cloud expertise. In many of these companies there is a clear ideas about expected benefits. There is also an awareness of some potential problems. However, this is often not sufficient to assess the risks before starting on a full cloud migration of a legacy system.

Technical and conceptual analyses can only help to identify risks in the migration process with from a cost and a quality perspective to a limited extent. So, we investigate here the suitability of feasibility studies with a focus on experimental exploration. These studies would generally only cost 5% of the overall costs of a migration project, but can strongly support a reliable risk assessment. These can determine how much of the expectations and intentions can achieved in a cloud deployment. The cost of the migration, but also the cost of operating an IT system in the cloud can be estimated in the context of quality expectations. Using a feasibility study with an experimental core based on a partial prototype delivers much more reliable figures regarding configurations, quality-of-service and costing than a theoretical analysis could deliver.

We will embed our feasibility study approach into a pattern-based migration method. We report on a number of case studies to validate the expected benefits of feasibility-driven migration.

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Notes

  1. 1.

    Please note, these costs were part-funded for the given use cases documented here by governmental business innovation schemes.

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Acknowledgements

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

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Authors and Affiliations

  1. IC4, Dublin City University, Dublin 9, Ireland

    Frank Fowley, Divyaa Manimaran Elango & Hany Magar

  2. SwSE, Free University of Bozen-Bolzano, Bolzano, Italy

    Claus Pahl

Authors
  1. Frank Fowley
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  2. Divyaa Manimaran Elango
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  3. Hany Magar
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  4. Claus Pahl
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Corresponding author

Correspondence to Claus Pahl .

Editor information

Editors and Affiliations

  1. Columbia University, New York, New York, USA

    Donald Ferguson

  2. Escola d’Enginyeria, Barcelona, Spain

    Víctor Méndez Muñoz

  3. Departamento de Engenharia Informatica, Universidade da Coimbra, Coimbra, Portugal

    Jorge Cardoso

  4. Dublin City University, Dublin 9, Ireland

    Markus Helfert

  5. Free University of Bozen-Bolzano, Bolzano, Bolzano, Italy

    Claus Pahl

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Fowley, F., Elango, D.M., Magar, H., Pahl, C. (2018). The Benefits of Using Experimental Exploration for Cloud Migration Analysis and Planning. In: Ferguson, D., Muñoz, V., Cardoso, J., Helfert, M., Pahl, C. (eds) Cloud Computing and Service Science. CLOSER 2017. Communications in Computer and Information Science, vol 864. Springer, Cham. https://doi.org/10.1007/978-3-319-94959-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-94959-8_9

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  • Online ISBN: 978-3-319-94959-8

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