Performance Evaluation of Cloud Computing Platforms Using Statistical Methods

dc.contributor.author Atas, Gultekin
dc.contributor.author Gungor, Vehbi Cagri
dc.date.accessioned 2025-09-25T10:54:37Z
dc.date.available 2025-09-25T10:54:37Z
dc.date.issued 2014
dc.description.abstract Cloud computing is a very attractive research topic. Many studies have examined the infrastructure as a service and software as a service aspects of cloud computing; however, few studies have focused on platform as a service (PaaS). According to recent reports, demand for enterprise PaaS solutions will increase continuously. However, different sectors require different types of PaaS applications and computing resources. Therefore, an evaluation and ranking framework for PaaS solutions according to application needs is required. To address this need, this study presents the most essential aspects of PaaS solutions and provides a framework for evaluating the performance of PaaS providers. It also proposes a suitable set of benchmarking algorithms that can help determine the most appropriate PaaS provider based on different resource needs and application requirements. Performance evaluations of three well-known cloud computing PaaS providers were conducted using the analytic hierarchy process and the logic scoring of preference methods. (C) 2014 Elsevier Ltd. All rights reserved. en_US
dc.identifier.doi 10.1016/j.compeleceng.2014.03.017
dc.identifier.issn 0045-7906
dc.identifier.issn 1879-0755
dc.identifier.scopus 2-s2.0-84902345768
dc.identifier.uri https://doi.org/10.1016/j.compeleceng.2014.03.017
dc.identifier.uri https://hdl.handle.net/20.500.12573/4403
dc.language.iso en en_US
dc.publisher Pergamon-Elsevier Science Ltd en_US
dc.relation.ispartof Computers & Electrical Engineering en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.title Performance Evaluation of Cloud Computing Platforms Using Statistical Methods en_US
dc.type Article en_US
dspace.entity.type Publication
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gdc.author.scopusid 10739803300
gdc.bip.impulseclass C4
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gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Atas, Gultekin; Gungor, Vehbi Cagri] Bahcesehir Univ, Dept Comp Engn, TR-34353 Istanbul, Turkey; [Gungor, Vehbi Cagri] Abdullah Gul Univ, Dept Comp Engn, TR-38039 Kayseri, Turkey en_US
gdc.description.endpage 1649 en_US
gdc.description.issue 5 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 1636 en_US
gdc.description.volume 40 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
gdc.identifier.openalex W2036000755
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gdc.oaire.popularity 4.681918E-9
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 9.4668
gdc.openalex.normalizedpercentile 0.98
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 16
gdc.plumx.crossrefcites 11
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