一种新的基于云计算的空间地面数据系统架构

Ali Kaddouri, Mustapha Guezouri, N. Mbarek
{"title":"一种新的基于云计算的空间地面数据系统架构","authors":"Ali Kaddouri, Mustapha Guezouri, N. Mbarek","doi":"10.1504/IJCNDS.2018.10010390","DOIUrl":null,"url":null,"abstract":"Many companies decided to move towards the cloud computing technology in order to manage, monitor and explore huge space data amount in the space ground data systems. The corresponding transition adaptation needs a study to classify each space related service in the appropriate cloud computing service model layer; SaaS, PaaS and IaaS. In this paper, we specify a representation of proposed cloud computing based ground data system architecture for earth observation missions. The proposed architecture takes into consideration the collaboration aspect between multiple space agencies. We evaluate the time, storage and processing performance when using the cloud computing environment. The obtained results show a good performance where contact time increases significantly and more data was processed compared to the classic approach using hard CPU units. These results and especially the obtained contact time increase provide multiple agencies with more opportunities to intervene in cases of anomalies or disaster.","PeriodicalId":209177,"journal":{"name":"Int. J. Commun. Networks Distributed Syst.","volume":"40 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A new proposed cloud computing based architecture for space ground data systems\",\"authors\":\"Ali Kaddouri, Mustapha Guezouri, N. Mbarek\",\"doi\":\"10.1504/IJCNDS.2018.10010390\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Many companies decided to move towards the cloud computing technology in order to manage, monitor and explore huge space data amount in the space ground data systems. The corresponding transition adaptation needs a study to classify each space related service in the appropriate cloud computing service model layer; SaaS, PaaS and IaaS. In this paper, we specify a representation of proposed cloud computing based ground data system architecture for earth observation missions. The proposed architecture takes into consideration the collaboration aspect between multiple space agencies. We evaluate the time, storage and processing performance when using the cloud computing environment. The obtained results show a good performance where contact time increases significantly and more data was processed compared to the classic approach using hard CPU units. These results and especially the obtained contact time increase provide multiple agencies with more opportunities to intervene in cases of anomalies or disaster.\",\"PeriodicalId\":209177,\"journal\":{\"name\":\"Int. J. Commun. Networks Distributed Syst.\",\"volume\":\"40 12\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Commun. Networks Distributed Syst.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJCNDS.2018.10010390\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Commun. Networks Distributed Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCNDS.2018.10010390","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

为了管理、监控和挖掘空间地面数据系统中巨大的空间数据量,许多公司决定向云计算技术迈进。需要对相应的转换适应进行研究,在相应的云计算服务模型层中对各个空间相关的服务进行分类;SaaS, PaaS和IaaS。本文提出了一种基于云计算的对地观测地面数据系统架构。所提议的架构考虑了多个空间机构之间的协作方面。我们评估了使用云计算环境时的时间、存储和处理性能。与使用硬CPU单元的经典方法相比,所获得的结果显示出良好的性能,其中接触时间显着增加,处理的数据更多。这些结果,特别是获得的接触时间的增加,为多个机构在异常或灾难情况下进行干预提供了更多的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new proposed cloud computing based architecture for space ground data systems
Many companies decided to move towards the cloud computing technology in order to manage, monitor and explore huge space data amount in the space ground data systems. The corresponding transition adaptation needs a study to classify each space related service in the appropriate cloud computing service model layer; SaaS, PaaS and IaaS. In this paper, we specify a representation of proposed cloud computing based ground data system architecture for earth observation missions. The proposed architecture takes into consideration the collaboration aspect between multiple space agencies. We evaluate the time, storage and processing performance when using the cloud computing environment. The obtained results show a good performance where contact time increases significantly and more data was processed compared to the classic approach using hard CPU units. These results and especially the obtained contact time increase provide multiple agencies with more opportunities to intervene in cases of anomalies or disaster.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信