{"title":"使用高性能计算和云解决方案扩展WLCG第2层资源","authors":"J. Chudoba, M. Svatos","doi":"10.22323/1.327.0025","DOIUrl":null,"url":null,"abstract":"Available computing resources limit data simulation and processing of LHC experiments. WLCG Tier centers connected via Grid provide majority of computing and storage capacities, which allow relatively fast and precise analyses of data. Requirements on the number of simulated events must be often reduced to meet installed capacities. Projection of requirements for future LHC runs shows a significant shortage of standard Grid resources if a flat budget is assumed. There are several activities exploring other sources of computing power for LHC projects. The most significant are big HPC centers (supercomputers) and Cloud resources provided both by commercial and academic institutions. The Tier-2 center hosted by the Institute of Physics (FZU) in Prague provides resources for ALICE and ATLAS collaborations on behalf of all involved Czech institutions. Financial resources provided by funding agencies and resources provided by IoP do not allow to buy enough servers to meet demands of experiments. We extend storage resources by two distant sites with additional finance sources. Xrootd servers in the Institute of Nuclear Physics in Rez near Prague store files for the ALICE experiment. CESNET data storage group operates dCache instance with a tape backend for ATLAS (and Pierre Auger Observatory) collaboration. Relatively big computing capacities could be used in the national supercomputing center IT4I in Ostrava. Within the ATLAS collaboration, we explore two different solutions to overcome technical problems arising from different computing environment on the supercomputer. The main difference is that individual worker nodes do not have an external network connection and cannot directly download input and upload output data. One solution is already used for HPC centers in the USA, but until now requires significant adjustments of procedures used for standard ATLAS production. Another solution is based on ARC CE hosted by the Tier-2 center at IoP and resubmission of jobs remotely via ssh.","PeriodicalId":135658,"journal":{"name":"Proceedings of International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery — PoS(ISGC 2018 & FCDD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Extending WLCG Tier-2 Resources using HPC and Cloud Solutions\",\"authors\":\"J. Chudoba, M. Svatos\",\"doi\":\"10.22323/1.327.0025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Available computing resources limit data simulation and processing of LHC experiments. WLCG Tier centers connected via Grid provide majority of computing and storage capacities, which allow relatively fast and precise analyses of data. Requirements on the number of simulated events must be often reduced to meet installed capacities. Projection of requirements for future LHC runs shows a significant shortage of standard Grid resources if a flat budget is assumed. There are several activities exploring other sources of computing power for LHC projects. The most significant are big HPC centers (supercomputers) and Cloud resources provided both by commercial and academic institutions. The Tier-2 center hosted by the Institute of Physics (FZU) in Prague provides resources for ALICE and ATLAS collaborations on behalf of all involved Czech institutions. Financial resources provided by funding agencies and resources provided by IoP do not allow to buy enough servers to meet demands of experiments. We extend storage resources by two distant sites with additional finance sources. Xrootd servers in the Institute of Nuclear Physics in Rez near Prague store files for the ALICE experiment. CESNET data storage group operates dCache instance with a tape backend for ATLAS (and Pierre Auger Observatory) collaboration. Relatively big computing capacities could be used in the national supercomputing center IT4I in Ostrava. Within the ATLAS collaboration, we explore two different solutions to overcome technical problems arising from different computing environment on the supercomputer. The main difference is that individual worker nodes do not have an external network connection and cannot directly download input and upload output data. One solution is already used for HPC centers in the USA, but until now requires significant adjustments of procedures used for standard ATLAS production. Another solution is based on ARC CE hosted by the Tier-2 center at IoP and resubmission of jobs remotely via ssh.\",\"PeriodicalId\":135658,\"journal\":{\"name\":\"Proceedings of International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery — PoS(ISGC 2018 & FCDD)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery — PoS(ISGC 2018 & FCDD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22323/1.327.0025\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery — PoS(ISGC 2018 & FCDD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22323/1.327.0025","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

现有的计算资源限制了LHC实验数据的模拟和处理。通过网格连接的WLCG层中心提供了大部分的计算和存储能力,这允许相对快速和精确的数据分析。通常必须降低模拟事件数量的要求,以满足已安装的容量。对未来大型强子对撞机运行需求的预测表明,如果假设预算持平,标准网格资源将严重短缺。有几项活动在为大型强子对撞机项目探索计算能力的其他来源。最重要的是大型HPC中心(超级计算机)和商业和学术机构提供的云资源。布拉格物理研究所(FZU)主办的第2层中心代表所有相关的捷克机构为ALICE和ATLAS合作提供资源。资助机构提供的财政资源和IoP提供的资源不允许购买足够的服务器来满足实验的需求。我们通过两个遥远的站点扩展存储资源,并提供额外的资金来源。位于布拉格附近Rez核物理研究所的Xrootd服务器存储着ALICE实验的文件。CESNET数据存储组使用磁带后端为ATLAS(和皮埃尔·奥格天文台)协作操作dCache实例。相对较大的计算能力可以在俄斯特拉发的国家超级计算中心IT4I中使用。在ATLAS合作中,我们探索了两种不同的解决方案,以克服超级计算机上不同计算环境产生的技术问题。主要区别在于单个工作节点没有外部网络连接,不能直接下载输入和上传输出数据。一种解决方案已经用于美国的高性能计算中心,但直到现在还需要对用于标准ATLAS生产的程序进行重大调整。另一种解决方案是基于IoP的Tier-2中心托管的ARC CE,并通过ssh远程重新提交作业。
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
Extending WLCG Tier-2 Resources using HPC and Cloud Solutions
Available computing resources limit data simulation and processing of LHC experiments. WLCG Tier centers connected via Grid provide majority of computing and storage capacities, which allow relatively fast and precise analyses of data. Requirements on the number of simulated events must be often reduced to meet installed capacities. Projection of requirements for future LHC runs shows a significant shortage of standard Grid resources if a flat budget is assumed. There are several activities exploring other sources of computing power for LHC projects. The most significant are big HPC centers (supercomputers) and Cloud resources provided both by commercial and academic institutions. The Tier-2 center hosted by the Institute of Physics (FZU) in Prague provides resources for ALICE and ATLAS collaborations on behalf of all involved Czech institutions. Financial resources provided by funding agencies and resources provided by IoP do not allow to buy enough servers to meet demands of experiments. We extend storage resources by two distant sites with additional finance sources. Xrootd servers in the Institute of Nuclear Physics in Rez near Prague store files for the ALICE experiment. CESNET data storage group operates dCache instance with a tape backend for ATLAS (and Pierre Auger Observatory) collaboration. Relatively big computing capacities could be used in the national supercomputing center IT4I in Ostrava. Within the ATLAS collaboration, we explore two different solutions to overcome technical problems arising from different computing environment on the supercomputer. The main difference is that individual worker nodes do not have an external network connection and cannot directly download input and upload output data. One solution is already used for HPC centers in the USA, but until now requires significant adjustments of procedures used for standard ATLAS production. Another solution is based on ARC CE hosted by the Tier-2 center at IoP and resubmission of jobs remotely via ssh.
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
Progress on Machine and Deep Learning applications in CMS Computing What Goes Up, Must Go Down: A Case Study From RAL on Shrinking an Existing Storage Service Unified Account Management for High Performance Computing as a Service with Microservice Architecture Optical Interconnects for Cloud Computing Data Centers: Recent Advances and Future Challenges Studies on Job Queue Health and Problem Recovery
×
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