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International Conference on Enterprise Information Systems

ICEIS 2017: Enterprise Information Systems pp 339–365Cite as

A Scoring Method Based on Criteria Matching for Cloud Computing Provider Ranking and Selection

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 321))

Abstract

Cloud computing has become a successful service model for hosting and elastic on demand distribution of computing resources all around the world, using the Internet. This cornerstone paradigm has been adopted and incorporated not only in all major known service providers IT companies (e.g., Google, Amazon, etc.), but also triggered a competitive race at the creation of new companies as providers of cloud computing services. Although this increase on the companies offering cloud computing services is beneficial to the client, on the other hand it challenges the clients’ ability to choose among those companies the most suitable to attend their requirements. Therefore, this work proposes a logical/mathematical scoring method to be used to rank and select among several cloud computing provider candidates the most appropriate to the user. This method is based on the analysis of several criteria comprising performance indicators values required by the user and associated with every cloud computing provider that is able to attend the user’s requirements. The proposed method is composed of a three stages algorithm that evaluates, scores, sorts and selects different cloud providers based on the utility of their performance indicators according to the values of the performance indicators required by the users. In order to illustrate the proposed method’s operation, example of its utilization is provided.

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Acknowledgment

The authors would like to thank UDESC PROBIC scientific financial programme.

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Authors and Affiliations

  1. Department of Computer Science, Santa Catarina State University, Joinville, Brazil

    Lucas Borges de Moraes & Adriano Fiorese

Authors
  1. Lucas Borges de Moraes
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  2. Adriano Fiorese
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Corresponding author

Correspondence to Adriano Fiorese .

Editor information

Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  2. Warsaw University of Technology, Warsaw, Poland

    Michał Śmiałek

  3. MODESTE/ESEO, Angers, France

    Olivier Camp

  4. INSTICC, Polytechnic Institute of Setúbal, Setúbal, Poland

    Joaquim Filipe

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de Moraes, L.B., Fiorese, A. (2018). A Scoring Method Based on Criteria Matching for Cloud Computing Provider Ranking and Selection. In: Hammoudi, S., Śmiałek, M., Camp, O., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2017. Lecture Notes in Business Information Processing, vol 321. Springer, Cham. https://doi.org/10.1007/978-3-319-93375-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-93375-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93374-0

  • Online ISBN: 978-3-319-93375-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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