GRelC数据访问服务的进展

S. Fiore, Alessandro Negro, S. Vadacca, M. Cafaro, G. Aloisio, R. Barbera, E. Giorgio
{"title":"GRelC数据访问服务的进展","authors":"S. Fiore, Alessandro Negro, S. Vadacca, M. Cafaro, G. Aloisio, R. Barbera, E. Giorgio","doi":"10.1109/ISPA.2008.87","DOIUrl":null,"url":null,"abstract":"In a growing number of scientific disciplines, large data collections are emerging as important community resources. Data and metadata management exploiting the data grid paradigm is becoming more and more important as the number of involved data sources is continuously increasing and decentralizing. Efficient grid data access services are perceived as mandatory components for data management. In the grid data management area the GRelC Project has been addressing efficiency, transparency, interoperability and security issues, providing grid enabled solutions and proposing a set of data access and integration/federation services. In this paper we present the advances related to the GRelC Data Access, highlighting differences and innovations w.r.t. previous work. Basic foundations about the grid-enabled queries provided by the GRelC DAS and experimental results related to a bioinformatics international testbed on the GILDA t-Infrastructure are also reported and discussed.","PeriodicalId":345341,"journal":{"name":"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Advances in the GRelC Data Access Service\",\"authors\":\"S. Fiore, Alessandro Negro, S. Vadacca, M. Cafaro, G. Aloisio, R. Barbera, E. Giorgio\",\"doi\":\"10.1109/ISPA.2008.87\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a growing number of scientific disciplines, large data collections are emerging as important community resources. Data and metadata management exploiting the data grid paradigm is becoming more and more important as the number of involved data sources is continuously increasing and decentralizing. Efficient grid data access services are perceived as mandatory components for data management. In the grid data management area the GRelC Project has been addressing efficiency, transparency, interoperability and security issues, providing grid enabled solutions and proposing a set of data access and integration/federation services. In this paper we present the advances related to the GRelC Data Access, highlighting differences and innovations w.r.t. previous work. Basic foundations about the grid-enabled queries provided by the GRelC DAS and experimental results related to a bioinformatics international testbed on the GILDA t-Infrastructure are also reported and discussed.\",\"PeriodicalId\":345341,\"journal\":{\"name\":\"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPA.2008.87\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Parallel and Distributed Processing with Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2008.87","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

在越来越多的科学学科中,大数据收集正在成为重要的社区资源。随着涉及的数据源数量不断增加和分散,利用数据网格范式的数据和元数据管理变得越来越重要。高效的网格数据访问服务被认为是数据管理的必备组件。在网格数据管理领域,GRelC项目一直致力于解决效率、透明度、互操作性和安全性问题,提供支持网格的解决方案,并提出一组数据访问和集成/联合服务。在本文中,我们介绍了与GRelC数据访问相关的进展,突出了与以往工作的差异和创新。本文还报道和讨论了GRelC DAS提供的网格查询的基本基础以及与GILDA t-Infrastructure上的生物信息学国际测试平台相关的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Advances in the GRelC Data Access Service
In a growing number of scientific disciplines, large data collections are emerging as important community resources. Data and metadata management exploiting the data grid paradigm is becoming more and more important as the number of involved data sources is continuously increasing and decentralizing. Efficient grid data access services are perceived as mandatory components for data management. In the grid data management area the GRelC Project has been addressing efficiency, transparency, interoperability and security issues, providing grid enabled solutions and proposing a set of data access and integration/federation services. In this paper we present the advances related to the GRelC Data Access, highlighting differences and innovations w.r.t. previous work. Basic foundations about the grid-enabled queries provided by the GRelC DAS and experimental results related to a bioinformatics international testbed on the GILDA t-Infrastructure are also reported and discussed.
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
期刊最新文献
Image Feature Vector Construction Using Interest Point Based Regions A Fully Dynamic Distributed Algorithm for a B-Coloring of Graphs Fixed Point Decimal Multiplication Using RPS Algorithm Self-Stabilizing Construction of Bounded Size Clusters ScatterClipse: A Model-Driven Tool-Chain for Developing, Testing, and Prototyping Wireless Sensor Networks
×
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