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A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services
Cloud computing is becoming the new generation computing infrastructure, and many cloud vendors provide different types of cloud services. How to choose the best cloud services for specific applications is very challenging. Addressing this challenge requires balancing multiple factors, such as busin...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149509/ https://www.ncbi.nlm.nih.gov/pubmed/25170937 http://dx.doi.org/10.1371/journal.pone.0105297 |
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author | Gui, Zhipeng Yang, Chaowei Xia, Jizhe Huang, Qunying Liu, Kai Li, Zhenlong Yu, Manzhu Sun, Min Zhou, Nanyin Jin, Baoxuan |
author_facet | Gui, Zhipeng Yang, Chaowei Xia, Jizhe Huang, Qunying Liu, Kai Li, Zhenlong Yu, Manzhu Sun, Min Zhou, Nanyin Jin, Baoxuan |
author_sort | Gui, Zhipeng |
collection | PubMed |
description | Cloud computing is becoming the new generation computing infrastructure, and many cloud vendors provide different types of cloud services. How to choose the best cloud services for specific applications is very challenging. Addressing this challenge requires balancing multiple factors, such as business demands, technologies, policies and preferences in addition to the computing requirements. This paper recommends a mechanism for selecting the best public cloud service at the levels of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). A systematic framework and associated workflow include cloud service filtration, solution generation, evaluation, and selection of public cloud services. Specifically, we propose the following: a hierarchical information model for integrating heterogeneous cloud information from different providers and a corresponding cloud information collecting mechanism; a cloud service classification model for categorizing and filtering cloud services and an application requirement schema for providing rules for creating application-specific configuration solutions; and a preference-aware solution evaluation mode for evaluating and recommending solutions according to the preferences of application providers. To test the proposed framework and methodologies, a cloud service advisory tool prototype was developed after which relevant experiments were conducted. The results show that the proposed system collects/updates/records the cloud information from multiple mainstream public cloud services in real-time, generates feasible cloud configuration solutions according to user specifications and acceptable cost predication, assesses solutions from multiple aspects (e.g., computing capability, potential cost and Service Level Agreement, SLA) and offers rational recommendations based on user preferences and practical cloud provisioning; and visually presents and compares solutions through an interactive web Graphical User Interface (GUI). |
format | Online Article Text |
id | pubmed-4149509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41495092014-09-03 A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services Gui, Zhipeng Yang, Chaowei Xia, Jizhe Huang, Qunying Liu, Kai Li, Zhenlong Yu, Manzhu Sun, Min Zhou, Nanyin Jin, Baoxuan PLoS One Research Article Cloud computing is becoming the new generation computing infrastructure, and many cloud vendors provide different types of cloud services. How to choose the best cloud services for specific applications is very challenging. Addressing this challenge requires balancing multiple factors, such as business demands, technologies, policies and preferences in addition to the computing requirements. This paper recommends a mechanism for selecting the best public cloud service at the levels of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS). A systematic framework and associated workflow include cloud service filtration, solution generation, evaluation, and selection of public cloud services. Specifically, we propose the following: a hierarchical information model for integrating heterogeneous cloud information from different providers and a corresponding cloud information collecting mechanism; a cloud service classification model for categorizing and filtering cloud services and an application requirement schema for providing rules for creating application-specific configuration solutions; and a preference-aware solution evaluation mode for evaluating and recommending solutions according to the preferences of application providers. To test the proposed framework and methodologies, a cloud service advisory tool prototype was developed after which relevant experiments were conducted. The results show that the proposed system collects/updates/records the cloud information from multiple mainstream public cloud services in real-time, generates feasible cloud configuration solutions according to user specifications and acceptable cost predication, assesses solutions from multiple aspects (e.g., computing capability, potential cost and Service Level Agreement, SLA) and offers rational recommendations based on user preferences and practical cloud provisioning; and visually presents and compares solutions through an interactive web Graphical User Interface (GUI). Public Library of Science 2014-08-29 /pmc/articles/PMC4149509/ /pubmed/25170937 http://dx.doi.org/10.1371/journal.pone.0105297 Text en © 2014 Gui et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Gui, Zhipeng Yang, Chaowei Xia, Jizhe Huang, Qunying Liu, Kai Li, Zhenlong Yu, Manzhu Sun, Min Zhou, Nanyin Jin, Baoxuan A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services |
title | A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services |
title_full | A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services |
title_fullStr | A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services |
title_full_unstemmed | A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services |
title_short | A Service Brokering and Recommendation Mechanism for Better Selecting Cloud Services |
title_sort | service brokering and recommendation mechanism for better selecting cloud services |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149509/ https://www.ncbi.nlm.nih.gov/pubmed/25170937 http://dx.doi.org/10.1371/journal.pone.0105297 |
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