The DRIHM Project: A Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research

D. D'Agostino, A. Clematis, A. Galizia, A. Quarati, E. Danovaro, Luca Roverelli, Gabriele Zereik, D. Kranzlmüller, Michael Schiffers, N. Felde, Christian Straube, Olivier Caumontz, E. Richard, L. Garrote, Quillon Harphamk, H.R.A. Jagers, V. Dimitrijevic, L. Dekic, Elisabetta Fiorizz, F. Delogu, A. Parodi
{"title":"The DRIHM Project: A Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research","authors":"D. D'Agostino, A. Clematis, A. Galizia, A. Quarati, E. Danovaro, Luca Roverelli, Gabriele Zereik, D. Kranzlmüller, Michael Schiffers, N. Felde, Christian Straube, Olivier Caumontz, E. Richard, L. Garrote, Quillon Harphamk, H.R.A. Jagers, V. Dimitrijevic, L. Dekic, Elisabetta Fiorizz, F. Delogu, A. Parodi","doi":"10.1109/SC.2014.49","DOIUrl":null,"url":null,"abstract":"The distributed research infrastructure for hydrometeorology (DRIHM) project focuses on the development of an e-Science infrastructure to provide end-to-end hydro meteorological research (HMR) services (models, data, and post processing tools) by exploiting HPC, Grid and Cloud facilities. In particular, the DRIHM infrastructure supports the execution and analysis of high-resolution simulations through the definition of workflows composed by heterogeneous HMR models in a scalable and interoperable way, while hiding all the low level complexities. This contribution gives insights into best practices adopted to satisfy the requirements of an emerging multidisciplinary scientific community composed of earth and atmospheric scientists. To this end, DRIHM supplies innovative services leveraging high performance and distributed computing resources. Hydro meteorological requirements shape this IT infrastructure through an iterative \"learning-by-doing\" approach that permits tight interactions between the application community and computer scientists, leading to the development of a flexible, extensible, and interoperable framework.","PeriodicalId":275261,"journal":{"name":"SC14: International Conference for High Performance Computing, Networking, Storage and Analysis","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SC14: International Conference for High Performance Computing, Networking, Storage and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SC.2014.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23

Abstract

The distributed research infrastructure for hydrometeorology (DRIHM) project focuses on the development of an e-Science infrastructure to provide end-to-end hydro meteorological research (HMR) services (models, data, and post processing tools) by exploiting HPC, Grid and Cloud facilities. In particular, the DRIHM infrastructure supports the execution and analysis of high-resolution simulations through the definition of workflows composed by heterogeneous HMR models in a scalable and interoperable way, while hiding all the low level complexities. This contribution gives insights into best practices adopted to satisfy the requirements of an emerging multidisciplinary scientific community composed of earth and atmospheric scientists. To this end, DRIHM supplies innovative services leveraging high performance and distributed computing resources. Hydro meteorological requirements shape this IT infrastructure through an iterative "learning-by-doing" approach that permits tight interactions between the application community and computer scientists, leading to the development of a flexible, extensible, and interoperable framework.
DRIHM项目:整合HPC、网格和云资源用于水文气象研究的灵活方法
水文气象分布式研究基础设施(DRIHM)项目侧重于开发电子科学基础设施,通过利用HPC、网格和云设施提供端到端的水文气象研究(HMR)服务(模型、数据和后处理工具)。特别是,DRIHM基础设施通过定义由异构HMR模型以可扩展和可互操作的方式组成的工作流来支持高分辨率模拟的执行和分析,同时隐藏了所有低级复杂性。这一贡献提供了对为满足由地球和大气科学家组成的新兴多学科科学共同体的要求而采用的最佳做法的见解。为此,DRIHM提供利用高性能和分布式计算资源的创新服务。水文气象需求通过一种迭代的“边做边学”方法塑造了这种IT基础设施,这种方法允许应用程序社区和计算机科学家之间进行紧密的交互,从而开发出灵活、可扩展和可互操作的框架。
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 求助全文
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:481959085
Book学术官方微信