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云设计与部署模型:一项系统映射研究。

Cloud designs and deployment models: a systematic mapping study.

作者信息

Odun-Ayo Isaac, Goddy-Worlu Rowland, Samuel Victoria, Geteloma Victor

机构信息

Department of Computer and Information Sciences, Covenant University, Ota, Nigeria.

出版信息

BMC Res Notes. 2019 Jul 19;12(1):436. doi: 10.1186/s13104-019-4474-y.

DOI:10.1186/s13104-019-4474-y
PMID:31324263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6642572/
Abstract

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.

摘要

背景

云计算是一种独特的模式,它聚合云服务提供商提供的资源,供客户按需使用并按使用付费。存在一个整合四种主要云模型的云联盟以及一个整合多种计算服务的云聚合器。系统映射研究提供了在特定感兴趣领域所做工作的概述,并确定进一步研究的空白。

目标

本文的目标是使用系统映射过程对云的部署和设计模型进行研究。该方法涉及使用研究、贡献和主题方面来审视该研究领域的核心方面。

结果

获得的结果表明,关于解决方案提议的出版物更多,占与云设计和部署模型相关论文的41.98%。其中,5.34%是关于安全性的,1.5%是关于隐私的,6.11%是关于配置的,7.63%是关于实施的,11.45%是关于服务部署的,9.92%的解决方案提议是关于设计的。所获得的结果将有助于学术界和行业对所研究的这个广泛主题进行进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f801/6642572/cdc9ac7e43e7/13104_2019_4474_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f801/6642572/cdc9ac7e43e7/13104_2019_4474_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f801/6642572/cdc9ac7e43e7/13104_2019_4474_Fig1_HTML.jpg

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