Simulation Analysis of CMS Data Replication and Production Activities

C. Dobre, V. Cristea
{"title":"Simulation Analysis of CMS Data Replication and Production Activities","authors":"C. Dobre, V. Cristea","doi":"10.1109/3PGCIC.2011.70","DOIUrl":null,"url":null,"abstract":"The scale, complexity and worldwide geographical spread of the LHC computing and data analysis problems are unprecedented in scientific research. The complexity of processing and accessing this data is increased substantially by the size and global span of the major experiments, combined with the limited wide area network bandwidth available. We present the latest generation of the MONARC (Models of Networked Analysis at Regional Centers) simulation framework, as a design and modeling tool for large scale distributed systems applied to HEP experiments. We present simulation experiments designed to evaluate the capabilities of the current real-world distributed infrastructure to support existing physics analysis processes and the means by which the experiments bands together to meet the technical challenges posed by the storage, access and computing requirements of LHC data analysis within the CMS experiment.","PeriodicalId":251730,"journal":{"name":"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","volume":"3 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3PGCIC.2011.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The scale, complexity and worldwide geographical spread of the LHC computing and data analysis problems are unprecedented in scientific research. The complexity of processing and accessing this data is increased substantially by the size and global span of the major experiments, combined with the limited wide area network bandwidth available. We present the latest generation of the MONARC (Models of Networked Analysis at Regional Centers) simulation framework, as a design and modeling tool for large scale distributed systems applied to HEP experiments. We present simulation experiments designed to evaluate the capabilities of the current real-world distributed infrastructure to support existing physics analysis processes and the means by which the experiments bands together to meet the technical challenges posed by the storage, access and computing requirements of LHC data analysis within the CMS experiment.
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
CMS数据复制和生产活动的模拟分析
大型强子对撞机计算和数据分析问题的规模、复杂性和全球地理分布在科学研究中是前所未有的。由于主要实验的规模和全球范围,再加上有限的广域网带宽,处理和访问这些数据的复杂性大大增加。我们提出了最新一代的MONARC(区域中心网络分析模型)仿真框架,作为用于HEP实验的大规模分布式系统的设计和建模工具。我们提出了模拟实验,旨在评估当前现实世界分布式基础设施支持现有物理分析过程的能力,以及实验结合起来应对CMS实验中LHC数据分析的存储、访问和计算要求所带来的技术挑战的方法。
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
How to Work with Android within a (FB-)Aodv Network A Preliminary Evaluation for User Interfaces According to User Computer Skill and Computer Specifications Genetic Algorithms for Energy-Aware Scheduling in Computational Grids Strategies for Assigning Virtual Geometric Node Coordinates in Peer-to-Peer Overlays Integration of Wireless Hand-Held Devices with the Cloud Architecture: Security and Privacy Issues
×
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