Open Access
Issue
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
Article Number 07002
Number of page(s) 8
Section Facilities and Virtualization
DOI https://doi.org/10.1051/epjconf/202429507002
Published online 06 May 2024
  1. ATLAS Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, JINST 3 S08003 (2008). [Google Scholar]
  2. Worldwide LHC Computing Grid, URL, http://cern.ch/lcg [accessed 2023-06-07] [Google Scholar]
  3. J. Elmsheuser et al., Seamless integration of commercial clouds with ATLAS Distributed Computing, https://doi.org/10.1051/epjconf/202125102005 [Google Scholar]
  4. M. Barisits et al., Rucio - Scientific data management, Comput. Softw. Big Sci. 3 (2019) no.1, 11 [CrossRef] [Google Scholar]
  5. M. Lassnig et al., Extending Rucio with modern cloud storage support: Experiences from ATLAS, SKA and ESCAPE, Proc. CHEP Conf. (2023) - in these proceedings [Google Scholar]
  6. T. Maeno et al., PanDA for ATLAS distributed computing in the next decade, J. Phys. Conf. Ser. 898 (2017) no.5, 052002 [Google Scholar]
  7. E. Karavakis et al., FTS improvements for LHC Run-3 and beyond, EPJ Web Conf. 245 04016 (2020) [Google Scholar]
  8. Kubernetes, URL https://kubernetes.io/docs/home/ [accessed 2023-06-07] [Google Scholar]
  9. T. Maeno et al., Harvester : an edge service harvesting heterogeneous resources for ATLAS, EPJ Web Conf. 214 (2019), 03030 [Google Scholar]
  10. F. H. Barreiro Megino et al., Using Kubernetes as an ATLAS computing site, EPJ Web Conf. 245 (2020), 07025 [Google Scholar]
  11. J. Blomer et al., The CernVM File System, https://doi.org/10.5281/zenodo.4114078 [Google Scholar]
  12. Helm, URL https://helm.sh/ [accessed 2023-06-07] [Google Scholar]
  13. T. Kluyver et al., Jupyter Notebooks – a publishing format for reproducible computational workflows, http://dx.doi.org/10.3233/978-1-61499-649-1-87 [Google Scholar]
  14. M. Rocklin et al., Dask: Parallel Computation with Blocked algorithms and Task Scheduling, http://dx.doi.org/10.25080/Majora-7b98e3ed-013 [Google Scholar]
  15. Dask Gateway, URL https://gateway.dask.org/ [accessed 2023-06-07] [Google Scholar]
  16. F. Berghaus et al., ATLAS SimP1 upgrades during long shutdown two, EPJ Web Conf. 245 (2020), 07025 [Google Scholar]
  17. Harnessing a supercomputer for ATLAS, URL https://atlas.cern/update/briefing/vega- supercomputer [accessed 2023-06-07] [Google Scholar]
  18. Google Cloud Platform Spot VMs, URL, https://cloud.google.com/spot-vms [accessed 2023-06-07] [Google Scholar]
  19. M. Dunford et al., Active Learning reinterpretation of an ATLAS Dark Matter search constraining a model of a dark Higgs boson decaying to two b-quarks, ATL-PHYS-PUB- 2022-045 [Google Scholar]
  20. J. Elmsheuser et al., The ATLAS experiment software on ARM, Proc. CHEP Conf. (2023) in these proceedings [Google Scholar]
  21. P. Calafiura et al., The athena control framework in production, new developments and lessons learned, Proc. CHEP Conf. (2005) [Google Scholar]
  22. Energy Sciences Network, URL, https://www.es.net/ [accessed 2023-06-07] [Google Scholar]

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