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PricingTheCloud: A Pricing Estimator for an Informed Cloud-Migration Process

  • Conference paper
  • First Online:
Economics of Grids, Clouds, Systems, and Services (GECON 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15358))

  • 6 Accesses

Abstract

One of the main challenges facing businesses migrating to the cloud is getting an estimate of their costs in advance. The estimators available to date allow companies to compare the different virtual machine offerings from each operator, but only venture very slightly into estimating the overall cost, which includes operational and network costs. Existing estimators include operational costs in their estimates, but almost no one considers the network cost, which is a complex but far from negligible component. In this paper, we seek to address this issue by proposing a new estimator called PricingTheCloud. It is an estimator that enables companies to have an accurate estimate of their costs in advance. Unlike other estimators, PricingTheCloud considers network costs in the cost estimation. Its evaluation shows an average accuracy of \(86.73\%\) for compute costs and \(65.44\%\) for network costs in different AWS-to-AWS scenarios as compared to AWS invoices and shows the effectiveness of the proposed estimator compared to three other cloud costs estimators namely, Cloudorado, Holori, and Vantage.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Engineering and Technology, University of Buea, Buea, Cameroon

    Ines Raissa Djouela Kamgang

  2. School of Computing and Communications, Lancaster University, Lancaster, UK

    Abdessalam Elhabbash

  3. School of Computing Science, University of Glasgow, Glasgow, UK

    Yehia Elkhatib

Authors
  1. Ines Raissa Djouela Kamgang
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  2. Abdessalam Elhabbash
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  3. Yehia Elkhatib
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Corresponding author

Correspondence to Yehia Elkhatib .

Editor information

Editors and Affiliations

  1. LUMSA University, Rome, Italy

    Maurizio Naldi

  2. University of Leeds, Leeds, UK

    Karim Djemame

  3. Seoul National University, Seoul, Korea (Republic of)

    Jörn Altmann

  4. University of Zaragoza, Zaragoza, Zaragoza, Spain

    José Ángel Bañares

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Djouela Kamgang, I.R., Elhabbash, A., Elkhatib, Y. (2025). PricingTheCloud: A Pricing Estimator for an Informed Cloud-Migration Process. In: Naldi, M., Djemame, K., Altmann, J., Bañares, J.Á. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2024. Lecture Notes in Computer Science, vol 15358. Springer, Cham. https://doi.org/10.1007/978-3-031-81226-2_10

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  • DOI: https://doi.org/10.1007/978-3-031-81226-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-81225-5

  • Online ISBN: 978-3-031-81226-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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