IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v14y2022i1p1-18.html
   My bibliography  Save this article

An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection

Author

Listed:
  • Uma S. (http://orcid.org/0000-0001-5982-984X) (a0a5af0c-63a6-4312-80f9-8e1153d7b3a6

    (B. M. S. College of Engineering, India)

  • Evangelin Geetha D. (c195c8ff-665f-4211-8965-84fb61b45360

    (Ramaiah Institute of Technology, India)

Abstract

In the present scenario, it is inevitable for organizations to use the services offered through the cloud. As there are numerous cloud service providers, the users have a vast number of choices to get the desired service. For the long-term success of any organization, it is important to choose the right cloud service provider. This paper focuses on proposing a new framework to select the best cloud service provider. While selecting the best service provider, using an appropriate method for finding out the weight of each criterion is very important as it directly impacts the ranking of candidate service providers. In this work, the full consistency method (FUCOM) is employed for finding the weight of each criterion, and multi-objective optimization by ratio analysis (MOORA) is proposed for ranking the service provider. The integration of FUCOM with MOORA results in computing the reliable values of criteria weight and a simpler procedure for computing the overall score of the service provider. Hence, a rational decision making is possible in selecting the best cloud service provider.

Suggested Citation

  • Uma S. (http://orcid.org/0000-0001-5982-984X) (a0a5af0c-63a6-4312-80f9-8e1153d7b3a6 & Evangelin Geetha D. (c195c8ff-665f-4211-8965-84fb61b45360, 2022. "An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 14(1), pages 1-18, January.
  • Handle: RePEc:igg:jdsst0:v:14:y:2022:i:1:p:1-18
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.286692
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdsst0:v:14:y:2022:i:1:p:1-18. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.