Title: A modified Brown and Gibson model for cloud service selection

Authors: Munmun Saha; Sanjaya Kumar Panda; Suvasini Panigrahi

Addresses: Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla – 768018, Odisha, India ' Department of Computer Science and Engineering, National Institute of Technology, Warangal – 506004, Telangana, India ' Department of Computer Science and Engineering, Veer Surendra Sai University of Technology, Burla – 768018, Odisha, India

Abstract: Cloud computing has been widely accepted in the information technology (IT) industry as it provides on-demand services, lower operational and investment costs, scalability, and many more. Nowadays, small and medium enterprises (SMEs) use the cloud infrastructure for building their applications, which makes their business more agile by using elastic and flexible cloud services. Many cloud service providers (CSPs) have offered numerous services to their customers. However, due to the vast availability of cloud services and the wide range of CSPs, decision-making for cloud selection or adopting cloud services is not consistently straightforward. This paper proposes a modified Brown and Gibson model (M-BGM) to select the best CSP. We consider both the subjective and objective criteria for the non-quantifiable and quantifiable values, respectively. Here, various decision-makers can express their views about the alternatives. We compare M-BGM with multi-attribute group decision-making (MAGDM) approach and perform a sensitivity analysis to show the robustness.

Keywords: cloud computing; multi-criteria decision-making; MCDM; quality of service; QoS; cloud service provider; CSP; Brown and Gibson model; analytic hierarchy process; AHP; Delphi method; decision maker.

DOI: 10.1504/IJCSE.2023.132150

International Journal of Computational Science and Engineering, 2023 Vol.26 No.4, pp.430 - 444

Received: 05 Jan 2022
Received in revised form: 11 Apr 2022
Accepted: 27 Apr 2022
Published online: 12 Jul 2023 *

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