eprintid: 10346
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/03/46
datestamp: 2023-11-09 16:36:58
lastmod: 2023-11-09 16:36:58
status_changed: 2023-11-09 16:31:11
type: article
metadata_visibility: show
creators_name: Alabool, H.
creators_name: Kamil, A.
creators_name: Arshad, N.
creators_name: Alarabiat, D.
title: Cloud service evaluation method-based Multi-Criteria Decision-Making: A systematic literature review
ispublished: pub
keywords: Computation theory; Decision making; Decision theory; Distributed database systems, Cloud computing services; Cloud services; Evaluation theory; Multi-criteria decision making; Systematic literature review, Distributed computer systems
note: cited By 52
abstract: A substantial effort has been made to solve the cloud-service evaluation problem. Different Cloud Service Evaluation Methods (CSEMs) have been developed to address the problem. Cloud services are evaluated against multiple criteria, which leads to a Multi-Criteria Decision-Making (MCDM) problem. Yet, studies that assess, analyse, and summarize the unresolved problems and shortcomings of current CSEM-based MCDM are limited. In the existing review studies, only individual parts of CSEMs, rarely the full solution, are reviewed and examined. To investigate CSEMs comprehensively, we present a systematic literature review based on Evaluation Theory, a theory that generalizes six evaluation components, target, criteria, yardstick, data gathering techniques, synthesis techniques, and evaluation process. These six evaluation components and the CSEMs validation approach are the seven dimensions used to assess and analyse 77 papers published from 2006 to 2016. Sixteen research deficiencies were identified. The results confirm that the majority of the studies of the proposed CSEMs were either incomplete or lacked sufficient evidence. This research not only provides the relative strengths and weaknesses of the different CSEMs but also offers a basis for researchers and decision makers to develop improved CSEMs. © 2018 Elsevier Inc.
date: 2018
publisher: Elsevier Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042180333&doi=10.1016%2fj.jss.2018.01.038&partnerID=40&md5=c49f71703b5c9acb95933c2ff8015462
id_number: 10.1016/j.jss.2018.01.038
full_text_status: none
publication: Journal of Systems and Software
volume: 139
pagerange: 161-188
refereed: TRUE
issn: 01641212
citation:   Alabool, H. and Kamil, A. and Arshad, N. and Alarabiat, D.  (2018) Cloud service evaluation method-based Multi-Criteria Decision-Making: A systematic literature review.  Journal of Systems and Software, 139.  pp. 161-188.  ISSN 01641212