Data preservation at the Fermilab Tevatron

Data preservation at the Fermilab Tevatron
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DOI:
10.1016/j.nima.2017.01.043
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发表时间:
2015-12
期刊:
Journal of Physics: Conference Series
影响因子:
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通讯作者:
S. Amerio;S. Behari;J. Boyd;M. Brochmann;R. Culbertson;M. Diesburg;J. Freeman;L. Garren;H. Greenlee;K. Herner;R. Illingworth;B. Jayatilaka;A. Jonckheere;Q. Li;S. Naymola;G. Oleynik;W. Sakumoto;W. Sakumoto;E. Varnes;C. Vellidis;G. Watts;S. White
S. Amerio;S. Behari;J. Boyd;M. Brochmann;R. Culbertson;M. Diesburg;J. Freeman;L. Garren;H. Greenlee;K. Herner;R. Illingworth;B. Jayatilaka;A. Jonckheere;Q. Li;S. Naymola;G. Oleynik;W. Sakumoto;W. Sakumoto;E. Varnes;C. Vellidis;G. Watts;S. White
中科院分区:
其他
文献类型:
--
作者:
S. Amerio;S. Behari;J. Boyd;M. Brochmann;R. Culbertson;M. Diesburg;J. Freeman;L. Garren;H. Greenlee;K. Herner;R. Illingworth;B. Jayatilaka;A. Jonckheere;Q. Li;S. Naymola;G. Oleynik;W. Sakumoto;W. Sakumoto;E. Varnes;C. Vellidis;G. Watts;S. White

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费米实验室Tevatron对撞机的数据采集运行于2011年9月结束,产生了具有丰富科学潜力的数据集。CDF和D0实验都有大约9 PB的对撞机和存储在磁带上的模拟数据。费米实验室有一个大型的计算基础设施,包括磁带存储、磁盘缓存和分布式网格计算,用于Tevatron数据的物理分析。费米实验室运行II数据保存项目旨在保持这种分析能力持续到2020年及以后。为了实现这一目标,我们已经实施了一个系统,该系统利用虚拟化,自动验证和迁移到软件和数据存储技术的新标准,并利用费米实验室当前运行的实验中可用的资源。这些努力还提供了有益的经验教训,确保许多实验的长期数据访问,并使未来几年的高质量科学产出成为可能。
The Fermilab Tevatron collider's data-taking run ended in September 2011, yielding a dataset with rich scientific potential. The CDF and D0 experiments each have approximately 9 PB of collider and simulated data stored on tape. A large computing infrastructure consisting of tape storage, disk cache, and distributed grid computing for physics analysis with the Tevatron data is present at Fermilab. The Fermilab Run II data preservation project intends to keep this analysis capability sustained through the year 2020 and beyond. To achieve this goal, we have implemented a system that utilizes virtualization, automated validation, and migration to new standards in both software and data storage technology and leverages resources available from currently-running experiments at Fermilab. These efforts have also provided useful lessons in ensuring long-term data access for numerous experiments, and enable high-quality scientific output for years to come.