eprintid: 3268
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/32/68
datestamp: 2023-11-09 15:51:32
lastmod: 2023-11-09 15:51:32
status_changed: 2023-11-09 15:46:27
type: conference_item
metadata_visibility: show
creators_name: Alabool, H.M.
creators_name: Mahmood, A.K.
title: Review on cloud service evaluation and selection methods
ispublished: pub
keywords: Business Process; Cloud services; Complex software; Current limitation; Evaluate and Select methods; Public clouds; Selection methods; Systematic Review, Distributed database systems; Information systems; Research; Software engineering, Quality of service
note: cited By 13; Conference of 2013 International Conference on Research and Innovation in Information Systems, ICRIIS 2013 ; Conference Date: 27 November 2013 Through 28 November 2013; Conference Code:103283
abstract: To evaluate and select a Public Cloud Service (PCS) based on Cloud Service Requesters (CSRs) needs and demands a complex software engineering process. Selecting the wrong PCS may turn out to be costly and adversely affect business processes. To address these issues, many Cloud Evaluation and Selection Methods (CESMs) have been proposed by different researchers. Nevertheless, a number of CESMs' studies which have addressed the issue of evaluation and selection of the PCS based on the Quality of Service (QoS) have led to a different conclusion. This paper reviews the current limitations; namely, the strengths and weaknesses of CESMs for the PCS as well as the benefits they bring. The result has shown that current studies of CESMs are limited to certain types of quantifiable criteria, such as cost and performance. Non-quantifiable QoS criteria namely, trust, needs further attention. In addition, it has been identified that the majority of CESMs were not specifically designed for any CS layer; hence, it did not assist the CSP to evaluate their PCS with respect to other providers. © 2013 IEEE.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897851813&doi=10.1109%2fICRIIS.2013.6716686&partnerID=40&md5=5929386efe29862900bf2e49565fb6c3
id_number: 10.1109/ICRIIS.2013.6716686
full_text_status: none
publication: International Conference on Research and Innovation in Information Systems, ICRIIS
place_of_pub: Kuala Lumpur
pagerange: 61-66
refereed: TRUE
isbn: 9781479924875
issn: 23248149
citation:   Alabool, H.M. and Mahmood, A.K.  (2013) Review on cloud service evaluation and selection methods.  In: UNSPECIFIED.