IDEAS home Printed from https://ideas.repec.org/a/igg/jdsst0/v8y2016i1p25-42.html
   My bibliography  Save this article

Implementing a Cloud-Based Decision Support System in a Private Cloud: The Infrastructure and the Deployment Process

Author

Listed:
  • Imene Benatia

    (LAMIS Laboratory, Department of Mathematics and Computer Science, University of Tebessa, Tebessa, Algeria)

  • Mohamed Ridda Laouar

    (LAMIS Laboratory, Department of Mathematics and Computer Science, University of Tebessa, Tebessa, Algeria)

  • Hakim Bendjenna

    (LAMIS Laboratory, Department of Mathematics and Computer Science, University of Tebessa, Tebessa, Algeria)

  • Sean B. Eom

    (Department of Accounting, Southeast Missouri State University, Cape Girardeau, MO, USA)

Abstract

This paper introduces the architecture and the deployment of a Cloud based decision support system (DSS). The DSS the authors proposed is deployed on a platform Cloud (CloudBees) and managed by the OpenStack infrastructure. The DSS is built on the Cloud Computing architecture with three layers and includes the multiple criteria decision making (MCDM) method PROMETHEE II as well as the procedure of negotiation Hare in order to help the decision makers to select the best urban project. The Cloud based DSS reduces the deployment and processing time, ameliorates the communication and the cooperation between the decision makers, facilitates the accessibility and decrease the cost. The Cloud based multiple criteria DSS the authors designed and implemented has significant advantages. It reduces the deployment and processing time, ameliorates the communication and the cooperation between the decision makers, facilitates the accessibility, and decrease the cost.

Suggested Citation

  • Imene Benatia & Mohamed Ridda Laouar & Hakim Bendjenna & Sean B. Eom, 2016. "Implementing a Cloud-Based Decision Support System in a Private Cloud: The Infrastructure and the Deployment Process," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 8(1), pages 25-42, January.
    • Handle: RePEc:igg:jdsst0:v:8:y:2016:i:1:p:25-42
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.2016010102
    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:8:y:2016:i:1:p:25-42. 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.