Sustainable Location Selection of Data Centers

Developing a Multi-Criteria Set-Covering Decision-Making Methodology

Journal Article (2020)
Author(s)

Siamak Kheybari (Ferdowsi University of Mashhad)

Mansoor Davoodi Monfared (Institute for Advanced Studies in Basic Sciences, Zanjan)

Hadis Farazmand (Ferdowsi University of Mashhad)

J. Rezaei (TU Delft - Transport and Logistics)

Research Group
Transport and Logistics
Copyright
© 2020 Siamak Kheybari, Mansoor Davoodi Monfared, Hadis Farazmand, J. Rezaei
DOI related publication
https://doi.org/10.1142/S0219622020500157
More Info
expand_more
Publication Year
2020
Language
English
Copyright
© 2020 Siamak Kheybari, Mansoor Davoodi Monfared, Hadis Farazmand, J. Rezaei
Research Group
Transport and Logistics
Issue number
3
Volume number
19
Pages (from-to)
741-773
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In this paper, a multi-criteria set-covering methodology is proposed to select suitable locations for a set of data centers. First, a framework of criteria, with social, economic and environmental dimensions, is presented. The framework is used to calculate the suitability of potential data center locations in Iran. To that end, a sample of specialists in Iran was asked to take part in an online questionnaire, based on best-worst method (BWM), to determine the weight of the criteria included in the proposed framework, after which a number of potential locations are evaluated on the basis of the criteria. The proposed model is evaluated under a number of settings. Using the proposed multi-criteria set-covering model, not only the utility of candidate places is evaluated by sustainability criteria but also all service applicants are covered by at least one data center with a specific coverage radius.

Files

S0219622020500157.pdf
(pdf | 1.61 Mb)
- Embargo expired in 24-12-2020
License info not available