摘要:费米实验室大数据分析网络研究活动

P. DeMar, D. Dykstra, G. Garzoglio, P. Mhashikar, Anupam Rajendran, Wenji Wu
{"title":"摘要:费米实验室大数据分析网络研究活动","authors":"P. DeMar, D. Dykstra, G. Garzoglio, P. Mhashikar, Anupam Rajendran, Wenji Wu","doi":"10.1109/SC.Companion.2012.214","DOIUrl":null,"url":null,"abstract":"Exascale science translates to big data. In the case of the Large Hadron Collider (LHC), the data is not only immense, it is also globally distributed. Fermilab is host to the LHC Compact Muon Solenoid (CMS) experiment's US Tier-1 Center. It must deal with both scaling and wide-area distribution challenges in processing its CMS data. This poster will describe the ongoing network-related R&D activities at Fermilab as a mosaic of efforts that combine to facilitate big data processing and movement.","PeriodicalId":6346,"journal":{"name":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2012-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abstract: Networking Research Activities at Fermilab for Big Data Analysis\",\"authors\":\"P. DeMar, D. Dykstra, G. Garzoglio, P. Mhashikar, Anupam Rajendran, Wenji Wu\",\"doi\":\"10.1109/SC.Companion.2012.214\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exascale science translates to big data. In the case of the Large Hadron Collider (LHC), the data is not only immense, it is also globally distributed. Fermilab is host to the LHC Compact Muon Solenoid (CMS) experiment's US Tier-1 Center. It must deal with both scaling and wide-area distribution challenges in processing its CMS data. This poster will describe the ongoing network-related R&D activities at Fermilab as a mosaic of efforts that combine to facilitate big data processing and movement.\",\"PeriodicalId\":6346,\"journal\":{\"name\":\"2012 SC Companion: High Performance Computing, Networking Storage and Analysis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 SC Companion: High Performance Computing, Networking Storage and Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SC.Companion.2012.214\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 SC Companion: High Performance Computing, Networking Storage and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SC.Companion.2012.214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

百亿亿次科学转化为大数据。以大型强子对撞机(LHC)为例,数据不仅是巨大的,而且是全球分布的。费米实验室是大型强子对撞机紧凑型介子螺线管(CMS)实验的美国一级中心的所在地。在处理CMS数据时,必须同时解决规模和广域分布的问题。这张海报将描述费米实验室正在进行的与网络相关的研发活动,将其描述为促进大数据处理和移动的一系列努力。
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
Abstract: Networking Research Activities at Fermilab for Big Data Analysis
Exascale science translates to big data. In the case of the Large Hadron Collider (LHC), the data is not only immense, it is also globally distributed. Fermilab is host to the LHC Compact Muon Solenoid (CMS) experiment's US Tier-1 Center. It must deal with both scaling and wide-area distribution challenges in processing its CMS data. This poster will describe the ongoing network-related R&D activities at Fermilab as a mosaic of efforts that combine to facilitate big data processing and movement.
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
High Performance Computing and Networking: Select Proceedings of CHSN 2021 High Quality Real-Time Image-to-Mesh Conversion for Finite Element Simulations Abstract: Automatically Adapting Programs for Mixed-Precision Floating-Point Computation Poster: Memory-Conscious Collective I/O for Extreme-Scale HPC Systems Abstract: Virtual Machine Packing Algorithms for Lower Power Consumption
×
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
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