research-article

Cloud service scrutinization and selection framework (C3SF): : A novel unified approach to cloud service selection with consensus

Authors:

Jin ChunAuthors Info & Claims

Volume 586, Issue C

Pages 155 - 175

https://doi.org/10.1016/j.ins.2021.11.024

Published: 01 March 2022 Publication History

Abstract

Cloud service selection (CSS) remains a strategically significant decision and has a substantial impact on an organization’s competitive edge. Despite considerable research, the literature lacks a comprehensive unified approach to consensual CSS. Recognizing the significance of CSS decisions, in this paper, we propose a novel Cloud Service Scrutinization and Selection Framework (C3SF) that includes four interdependent phases: (1) requirements elicitation, (2) scrutinization, (3) evaluation, and (4) ranking & selection. As part of C3SF, we use conjunctive screening to scrutinize cloud services. We also propose a novel multi-criteria decision-making (MCDM) approach called the modified Best-Worst Method (MBWM), which computes the weights of criteria using early-stage consensus among decision-makers. In addition, we introduce an innovative two-step consensus process for ranking services using leading MCDM methods followed by an aggregation of ranks using a Markov chain-based approach. Moreover, to develop a broader consensus, we propose another two-stage novel mechanism comprising multi-aggregation and synthesis/fusion of rank information using a partially ordered set. We validate the performance and effectiveness of C3SF through a CSS case study using real-world data followed by a comprehensive analysis. The results show that C3SF is robust, practical, and suitable for well-informed decision-making.

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Cited By

Latifi FNassiri RMohsenzadeh MMostafaei H(2025)A Markov chain-based multi-criteria framework for dynamic cloud service selection using user feedbackThe Journal of Supercomputing10.1007/s11227-024-06508-981:1Online publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1007/s11227-024-06508-9
Yue C(2024)A software trustworthiness evaluation methodology for cloud services with picture fuzzy informationApplied Soft Computing10.1016/j.asoc.2023.111205152:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.asoc.2023.111205
Byabartta Kar MKrishankumar RPamucar DKar S(2023)A decision framework with nonlinear preferences and unknown weight information for cloud vendor selectionExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.118982213:PAOnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.eswa.2022.118982
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Cloud service scrutinization and selection framework (C3SF): A novel unified approach to cloud service selection with consensus

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cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 586, Issue C

Mar 2022

721 pages

ISSN:0020-0255

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Elsevier Inc.

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Elsevier Science Inc.

United States

Publication History

Published: 01 March 2022

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Cited By

Latifi FNassiri RMohsenzadeh MMostafaei H(2025)A Markov chain-based multi-criteria framework for dynamic cloud service selection using user feedbackThe Journal of Supercomputing10.1007/s11227-024-06508-981:1Online publication date: 1-Jan-2025
https://dl.acm.org/doi/10.1007/s11227-024-06508-9
Yue C(2024)A software trustworthiness evaluation methodology for cloud services with picture fuzzy informationApplied Soft Computing10.1016/j.asoc.2023.111205152:COnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.asoc.2023.111205
Byabartta Kar MKrishankumar RPamucar DKar S(2023)A decision framework with nonlinear preferences and unknown weight information for cloud vendor selectionExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.118982213:PAOnline publication date: 1-Mar-2023
https://dl.acm.org/doi/10.1016/j.eswa.2022.118982
De Capitani di Vimercati SForesti SLivraga GSamarati P(2023)Supporting User Protection Requirements in Cloud-Based Data OutsourcingSN Computer Science10.1007/s42979-023-01707-24:4Online publication date: 20-Apr-2023
https://dl.acm.org/doi/10.1007/s42979-023-01707-2
Ouadah A(2022)An Integrated Framework for More Efficient Web Services Selection Using an Improved Fuzzy AHPInternational Journal of Systems and Service-Oriented Engineering10.4018/IJSSOE.30436412:1(1-24)Online publication date: 8-Jul-2022
https://dl.acm.org/doi/10.4018/IJSSOE.304364
Durga SDaniel EOnesimu JSei Y(2022)Resource Provisioning Techniques in Multi-Access Edge Computing EnvironmentsMobile Information Systems10.1155/2022/72835162022Online publication date: 1-Jan-2022
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