The NASA Center for Climate Simulation Data Management System

J. Schnase, W. Webster, L. Parnell, D. Duffy
{"title":"The NASA Center for Climate Simulation Data Management System","authors":"J. Schnase, W. Webster, L. Parnell, D. Duffy","doi":"10.1109/MSST.2011.5937235","DOIUrl":null,"url":null,"abstract":"The NASA Center for Climate Simulation (NCCS) plays a lead role in meeting the computational and data management requirements of climate modeling and data assimilation. Scientific data services are becoming an important part of the NCCS mission. The NCCS Data Management System (DMS) is a key element of NCCS's technological response to this expanding role. In DMS, we are using the Integrated Rule-Oriented Data System (iRODS) to combine disparate data collections into a federated platform upon which various data services can be implemented. Work to date has demonstrated the effectiveness of iRODS in managing a large-scale collection of observational data, managing model output data in a cloud computing context, and managing NCCS-hosted data products that are published through community-defined services such as the Earth System Grid (ESG). Plans call for staged operational adoption of iRODS in the NCCS.","PeriodicalId":136636,"journal":{"name":"2011 IEEE 27th Symposium on Mass Storage Systems and Technologies (MSST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 27th Symposium on Mass Storage Systems and Technologies (MSST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSST.2011.5937235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

The NASA Center for Climate Simulation (NCCS) plays a lead role in meeting the computational and data management requirements of climate modeling and data assimilation. Scientific data services are becoming an important part of the NCCS mission. The NCCS Data Management System (DMS) is a key element of NCCS's technological response to this expanding role. In DMS, we are using the Integrated Rule-Oriented Data System (iRODS) to combine disparate data collections into a federated platform upon which various data services can be implemented. Work to date has demonstrated the effectiveness of iRODS in managing a large-scale collection of observational data, managing model output data in a cloud computing context, and managing NCCS-hosted data products that are published through community-defined services such as the Earth System Grid (ESG). Plans call for staged operational adoption of iRODS in the NCCS.
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
美国宇航局气候模拟数据管理系统中心
美国宇航局气候模拟中心(NCCS)在满足气候模拟和数据同化的计算和数据管理需求方面发挥着主导作用。科学数据服务正在成为NCCS任务的重要组成部分。NCCS数据管理系统(DMS)是NCCS技术响应这一不断扩大的作用的关键要素。在DMS中,我们使用集成的面向规则的数据系统(Integrated Rule-Oriented Data System, iRODS)将不同的数据集合组合到一个联合平台中,在这个平台上可以实现各种数据服务。迄今为止的工作已经证明了iRODS在管理大规模观测数据收集、管理云计算环境下的模型输出数据以及管理通过社区定义的服务(如地球系统网格(ESG))发布的nccs托管数据产品方面的有效性。计划要求在NCCS中分阶段采用iRODS。
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
Data allocation strategies for the management of Quality of Service in Virtualised Storage Systems Performance models of flash-based solid-state drives for real workloads Performance modeling and analysis of flash-based storage devices Understanding and improving computational science storage access through continuous characterization YouChoose: A performance interface enabling convenient and efficient QoS support for consolidated storage systems
×
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