Open Access
Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
---|---|---|
Article Number | 02031 | |
Number of page(s) | 10 | |
Section | Distributed Computing, Data Management and Facilities | |
DOI | https://doi.org/10.1051/epjconf/202125102031 | |
Published online | 23 August 2021 |
- L. Evans, P. Bryant, LHC Machine, 2008, Journ. of Instrum. 3, S08003 [Google Scholar]
- A. Kiryanov et al, Federated data storage system prototype for LHC experiments and data intensive science, 2016, J. Phys.: Conf. Ser. 898 062016 [CrossRef] [Google Scholar]
- A. Klimentov, Exascale Data Processing in Heterogeneous Distributed Computing Infrastructure for Applications in High Energy Physics, Physics of Particles and Nuclei, 51(6), 995-1068, 10.1134/S1063779620060052 [Google Scholar]
- A. Klimentov et al, Russian scientific data lake, Open Science Platforms, 2018, vol. 4. [Google Scholar]
- A. Alekseev et al., On the road to a scientific data lake for the High Luminosity LHC era, 2020, International Journal of Modern Physics A, Vol. 35, No. 33, 2030022 [CrossRef] [Google Scholar]
- D. Berzano et al., HEP Software Foundation Community White Paper Working Group - Data Organization, Management and Access (DOMA), 2018, arXiv:1812.00761 [Google Scholar]
- J. Shiers, 2007, Computer Physics Communications 177, 219–223 [Google Scholar]
- A. Peters et al. EOS as the present and future solution for data storage at CERN, 2015 J. Phys.: Conf. Ser. 664 042042 [Google Scholar]
- A. Anisenkov et al., CRIC: Computing Resource Information Catalogue as a unified topology system for a large scale, heterogeneous and dynamic computing infrastructure, 2020, EPJ Web Conf. 245 03032 [Google Scholar]
- J. Elmsheuser et al., Grid sites testing for ATLAS with Hammercloud, 2014, J. Phys.: Conf. Ser. 513 032030 [Google Scholar]
- ATLAS Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, 2008, Journ. of Instrum. 3, S08003 [Google Scholar]
- F H Barreiro Megino et al., PanDA for ATLAS distributed computing in the next decade, 2017, J. Phys.: Conf. Ser. 898 052002 [CrossRef] [Google Scholar]
- A. Alekseev et al., ATLAS BigPanDA monitoring, 2018, J. Phys.: Conf. Ser. 1085 032043 [Google Scholar]
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