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

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

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) and Sean B. Eom (Department of Accounting, Southeast Missouri State University, Cape Girardeau, MO, USA)
Copyright: © 2016 |Pages: 18
DOI: 10.4018/IJDSST.2016010102
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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.
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2. Review Of Literature

There is a dearth of literature on the private cloud–based decision support systems that deal with the infrastructure and the deployment process. The DSS we proposed is built on a wide range of concepts, frameworks, and theories from reference disciplines including multiple criteria decision making (MCDM), distributed computing(SUCIU, HALUNGA, APOSTU, VULPE, & TODORAN, 2013), negotiation support systems, and cloud computing and virtualization technologies. Readers are referred to (BENATIA, LAOUAR, BENDJENNA, & Eom, 2015; S. B. Eom, 2007; S. B. Eom & Min, 1999) for the overview of the contributions of MCDM, negotiation support systems to the development of DSS research subspecialties.

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