Performance Evaluation of Cloud Computing Platforms Using Statistical Methods
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Date
2014
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-Elsevier Science Ltd
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
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.
Description
Keywords
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
16
Source
Computers & Electrical Engineering
Volume
40
Issue
5
Start Page
1636
End Page
1649
PlumX Metrics
Citations
CrossRef : 11
Scopus : 20
Captures
Mendeley Readers : 68
SCOPUS™ Citations
24
checked on Mar 04, 2026
Web of Science™ Citations
21
checked on Mar 04, 2026
Page Views
4
checked on Mar 04, 2026
Downloads
1
checked on Mar 04, 2026
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