The GEO-Cloud Experiment: Global Earth Observation System Computed in Cloud

J. Becedas
{"title":"The GEO-Cloud Experiment: Global Earth Observation System Computed in Cloud","authors":"J. Becedas","doi":"10.1109/IMIS.2014.2","DOIUrl":null,"url":null,"abstract":"Earth Observation (EO) is considered a key element in the European Research Roadmap and an opportunity market for the next years. However, this field presents some critical challenges to cover the current demand of services: i) there is massive and large-sized data from Earth Observation recordings, ii) On demand storage, processing and distribution of geo-information generated with the recorded data are required. Conventional infrastructures have the risks of over/under size the infrastructure when big data is used, they are not flexible to cover sudden changes in the demand of services and the access to the information presents large latencies. These aspects limit the use of EO technology for real time use. The use of cloud computing technology can overcome the previously defined limitations. The GEO-Cloud experiment emerged to find viable solutions to provide highly demanding EO services by using future internet technologies. It is a close to reality experiment, part of the FP7 Fed4FIRE project. GEO-Cloud consists of the design, implementation and testing in cloud a complete EO system, from the acquisition of geo-data with a constellation of satellites to its on demand distribution to end users with remote access. This paper presents the GEO-Cloud experiment design, architecture and foreseen research activity.","PeriodicalId":345694,"journal":{"name":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMIS.2014.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Earth Observation (EO) is considered a key element in the European Research Roadmap and an opportunity market for the next years. However, this field presents some critical challenges to cover the current demand of services: i) there is massive and large-sized data from Earth Observation recordings, ii) On demand storage, processing and distribution of geo-information generated with the recorded data are required. Conventional infrastructures have the risks of over/under size the infrastructure when big data is used, they are not flexible to cover sudden changes in the demand of services and the access to the information presents large latencies. These aspects limit the use of EO technology for real time use. The use of cloud computing technology can overcome the previously defined limitations. The GEO-Cloud experiment emerged to find viable solutions to provide highly demanding EO services by using future internet technologies. It is a close to reality experiment, part of the FP7 Fed4FIRE project. GEO-Cloud consists of the design, implementation and testing in cloud a complete EO system, from the acquisition of geo-data with a constellation of satellites to its on demand distribution to end users with remote access. This paper presents the GEO-Cloud experiment design, architecture and foreseen research activity.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
GEO-Cloud实验:云中计算的全球地球观测系统
地球观测(EO)被认为是欧洲研究路线图的一个关键要素,也是未来几年的一个机会市场。然而,为了满足当前的服务需求,这一领域提出了一些关键挑战:1)地球观测记录中有大量和大尺寸的数据;2)需要按需存储、处理和分发由记录数据生成的地理信息。传统基础设施在使用大数据时存在规模过大或过小的风险,它们不能灵活应对服务需求的突然变化,并且对信息的访问存在较大的延迟。这些方面限制了EO技术的实时使用。使用云计算技术可以克服以前定义的限制。GEO-Cloud实验的出现是为了寻找可行的解决方案,利用未来的互联网技术提供高要求的EO服务。这是一个接近现实的实验,是FP7 Fed4FIRE项目的一部分。GEO-Cloud包括在云中设计、实现和测试一个完整的EO系统,从卫星星座的地理数据采集到其按需分发到具有远程访问的最终用户。本文介绍了GEO-Cloud的实验设计、体系结构和预期的研究活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Multi-defense Mechanism against DDoS in SDN Based CDNi Extending the EPCIS with Building Automation Systems: A New Information System for the Internet of Things A Survey of Green, Energy-Aware Security and Some of Its Recent Developments in Networking and Mobile Computing A Dual-Path-Based Data Aggregation Scheme for Grid-Based Wireless Sensor Networks Minimum Cost Content Object Reconstruction in Multi-tier Servers
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1