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Cloud designs and deployment models: a systematic mapping study
BACKGROUND: Cloud computing is a unique paradigm that is aggregating resources available from cloud service providers for use by customers on demand and pay per use basis. There is a Cloud federation that integrates the four primary Cloud models and the Cloud aggregator that integrates multiple comp...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642572/ https://www.ncbi.nlm.nih.gov/pubmed/31324263 http://dx.doi.org/10.1186/s13104-019-4474-y |
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author | Odun-Ayo, Isaac Goddy-Worlu, Rowland Samuel, Victoria Geteloma, Victor |
author_facet | Odun-Ayo, Isaac Goddy-Worlu, Rowland Samuel, Victoria Geteloma, Victor |
author_sort | Odun-Ayo, Isaac |
collection | PubMed |
description | BACKGROUND: Cloud computing is a unique paradigm that is aggregating resources available from cloud service providers for use by customers on demand and pay per use basis. There is a Cloud federation that integrates the four primary Cloud models and the Cloud aggregator that integrates multiple computing services. A systematic mapping study provides an overview of work done in a particular field of interest and identifies gaps for further research. OBJECTIVES: The objective of this paper was to conduct a study of deployment and designs models for Cloud using a systematic mapping process. The methodology involves examining core aspect of the field of study using the research, contribution and topic facets. RESULTS: The results obtained indicated that there were more publications on solution proposals, which constituted 41.98% of papers relating to design and deployment models on the Cloud. Out of this, 5.34% was on security, 1.5% on privacy, 6.11% on configuration, 7.63% on implementation, 11.45% on service deployment, and 9.92% of the solution proposal was on design. The results obtained will be useful for further studies by the academia and industry in this broad topic that was examined. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-019-4474-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6642572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66425722019-07-29 Cloud designs and deployment models: a systematic mapping study Odun-Ayo, Isaac Goddy-Worlu, Rowland Samuel, Victoria Geteloma, Victor BMC Res Notes Research Note BACKGROUND: Cloud computing is a unique paradigm that is aggregating resources available from cloud service providers for use by customers on demand and pay per use basis. There is a Cloud federation that integrates the four primary Cloud models and the Cloud aggregator that integrates multiple computing services. A systematic mapping study provides an overview of work done in a particular field of interest and identifies gaps for further research. OBJECTIVES: The objective of this paper was to conduct a study of deployment and designs models for Cloud using a systematic mapping process. The methodology involves examining core aspect of the field of study using the research, contribution and topic facets. RESULTS: The results obtained indicated that there were more publications on solution proposals, which constituted 41.98% of papers relating to design and deployment models on the Cloud. Out of this, 5.34% was on security, 1.5% on privacy, 6.11% on configuration, 7.63% on implementation, 11.45% on service deployment, and 9.92% of the solution proposal was on design. The results obtained will be useful for further studies by the academia and industry in this broad topic that was examined. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13104-019-4474-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-19 /pmc/articles/PMC6642572/ /pubmed/31324263 http://dx.doi.org/10.1186/s13104-019-4474-y Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Note Odun-Ayo, Isaac Goddy-Worlu, Rowland Samuel, Victoria Geteloma, Victor Cloud designs and deployment models: a systematic mapping study |
title | Cloud designs and deployment models: a systematic mapping study |
title_full | Cloud designs and deployment models: a systematic mapping study |
title_fullStr | Cloud designs and deployment models: a systematic mapping study |
title_full_unstemmed | Cloud designs and deployment models: a systematic mapping study |
title_short | Cloud designs and deployment models: a systematic mapping study |
title_sort | cloud designs and deployment models: a systematic mapping study |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6642572/ https://www.ncbi.nlm.nih.gov/pubmed/31324263 http://dx.doi.org/10.1186/s13104-019-4474-y |
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