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All issues Volume 337 (2025) EPJ Web Conf., 337 (2025) 01068 References
Open Access
Issue
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
Article Number 01068
Number of page(s) 9
DOI https://doi.org/10.1051/epjconf/202533701068
Published online 07 October 2025
  1. A. Di Girolamo, Z. Marshal (ATLAS), Tech. rep., CERN, Geneva (2022), https://cds.cern.ch/record/2802918 [Google Scholar]
  2. C.O. Software, Computing, Tech. rep., CERN, Geneva (2022), https://cds.cern. ch/record/2815292 [Google Scholar]
  3. Ska data rates, https://indico.cern.ch/event/1349135/contributions/5832985/attachments/2833776/4951647/Breen%20-%20LHCOPN-LHCONE.pdf [Google Scholar]
  4. M. Bouwhuis, V. Cecchini, K. Graf, F.S. Greus, F. Schnabel, Toward full implementation of the km3net research infrastructure, EU Cordis platform (2023). [Google Scholar]
  5. T.D. collaboration, Dune offline computing conceptual design report (2022), 2210.15665, https://arxiv.org/abs/2210.15665 [Google Scholar]
  6. I. Bird, F. Carminati, R. Mount, B. Panzer-Steindel, J. Harvey, I. Fisk, B. Kersevan, P. Clarke, M. Girone, P. Buncic et al., Tech. rep., CERN (2014) [Google Scholar]
  7. E. Martelli, S. Stancu, Lhcopn and lhcone: status and future evolution, in Journal of Physics: Conference Series (IOP Publishing, 2015), Vol. 664, p. 052025 [CrossRef] [Google Scholar]
  8. A. Hanushevsky, H. Ito, M. Lassnig, R. Popescu, A. De Silva, M. Simon, R. Gardner, V. Garonne, J. De Stefano, I. Vukotic et al., Xcache in the ATLAS distributed computing environment, in EPJ Web of Conferences (EDP Sciences, 2019), Vol. 214, p. 04008 [CrossRef] [EDP Sciences] [Google Scholar]
  9. A. Dorigo, P. Elmer, F. Furano, A. Hanushevsky, Xrootd-a highly scalable architecture for data access, WSEAS Transactions on Computers 1, 348 (2005). [Google Scholar]
  10. Wlcg website, https://home.web.cern.ch/science/computing/grid [Google Scholar]
  11. Wlcg transfers, https://monit-grafana.cern.ch/d/ZqU5ugjMz/fts-status-board?orgId=20&viewPanel=111 [Google Scholar]
  12. M. Barisits, T. Beermann, F. Berghaus, B. Bockelman, J. Bogado, D. Cameron, D. Christidis, D. Ciangottini, G. Dimitrov, M. Elsing et al., Rucio: Scientific data management, Computing and Software for Big Science 3, 1 (2019). [Google Scholar]
  13. E. Karavakis, A. Manzi, M.A. Rios, O. Keeble, C.G. Cabot, M. Simon, M. Patrascoiu, A. Angelogiannopoulos, FTS improvements for LHC Run-3 and beyond, in EPJ Web of Conferences (EDP Sciences, 2020), Vol. 245, p. 04016 [Google Scholar]
  14. I. Foster, C. Kesselman, The globus toolkit, The grid: blueprint for a new computing infrastructure pp. 259–278 (1999). [Google Scholar]
  15. Rucio github, https://github.com/rucio/ [Google Scholar]
  16. Rucio open source community report, https://cauldron.io/project/8934 [Google Scholar]
  17. E.J. Whitehead, M. Wiggins, Webdav: Ieft standard for collaborative authoring on the web, IEEE Internet Computing 2, 34 (1998). [CrossRef] [Google Scholar]
  18. G. Behrmann, P. Fuhrmann, M. Grønager, J. Kleist, A distributed storage system with dCache, in Journal of Physics: Conference Series (IOP Publishing, 2008), Vol. 119, p. 062014 [Google Scholar]
  19. A.J. Peters, E.A. Sindrilaru, G. Adde, EOS as the present and future solution for data storage at CERN, in Journal of Physics: Conference Series (IOP Publishing, 2015), Vol. 664, p. 042042 [CrossRef] [Google Scholar]
  20. E. Cano, V. Bahyl, C. Caffy, G. Cancio, M. Davis, O. Keeble, V. Kotlyar, J. Leduc, S. Murray, CERN Tape Archive: a distributed, reliable and scalable scheduling system, in EPJ Web of Conferences (EDP Sciences, 2021), Vol. 251, p. 02037 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  21. A. Ghiselli, L. Magnoni, R. Zappi, Storm: A manager for storage resource in grid, Nuovo Cimento. C 32, 273 (2009). [Google Scholar]
  22. V. Garonne, R. Vigne, G. Stewart, M. Barisits, M. Lassnig, C. Serfon, L. Goossens, A. Nairz, A. Collaboration et al., Rucio–The next generation of large scale distributed system for ATLAS Data Management, in Journal of Physics: Conference Series (IOP Publishing, 2014), Vol. 513, p. 042021 [Google Scholar]
  23. E. Vaandering, Transitioning CMS to Rucio Data Managment, in EPJ Web of Conferences (EDP Sciences, 2020), Vol. 245, p. 04033 [Google Scholar]
  24. S.C. Timm, Tech. rep., Fermi National Accelerator Lab.(FNAL), Batavia, IL (United States) (2021) [Google Scholar]
  25. B. White, D. Lee, Y. Guo, Tech. rep., Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States) (2022) [Google Scholar]
  26. C. Serfon, R. Mashinistov, J.S. De Stefano, M.H. Villanueva, H. Ito, Y. Kato, P. Laycock, H. Miyake, I. Ueda, Integration of rucio in belle ii, in EPJ Web of Conferences (EDP Sciences, 2021), Vol. 251, p. 02057 [Google Scholar]
  27. M. Lassnig et al., Tech. rep., XENON. Technical report, ATL-SOFT-PROC-2020-017, CERN, Geneva (2020) [Google Scholar]
  28. L. Arrabito, J. Bregeon, P. Maeght, M. Sanguillon, A. Tsaregorodtsev, The Cherenkov Telescope Array production system proto-type for large-scale data processing and simulations, in EPJ Web of Conferences (EDP Sciences, 2021), Vol. 251, p. 02029 [Google Scholar]
  29. X. Zhang, X. Zhang, H. Li, Y. Bi, H. Hu, H. Wang, Distributed Data Management System at IHEP, in International Symposium on Grids and Clouds (ISGC) (2023), Vol. 19 [Google Scholar]
  30. F. Würthwein, J. Guiang, A. Arora, D. Davila, J. Graham, D. Mishin, T. Hutton, I. Sfiligoi, H. Newman, J. Balcas et al., Managed Network Services for Exascale Data Movement Across Large Global Scientific Collaborations, in 2022 4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP) (IEEE, 2022), pp. 16–19 [Google Scholar]
  31. Harnessing the power of rucio for earth data observation, https://www.dafab-ai. eu/blog/2024/07/01/harnessing-the-power-of-rucio/ [Google Scholar]
  32. E. Gazzarrini, E. Garcia, D. Gosein, A.V. Moya, A. Kounelis, X. Espinal, The virtual research environment: towards a comprehensive analysis platform, arXiv preprint arXiv:2305.10166 (2023). [Google Scholar]
  33. Streamlining opendata policies in rucio, https://oscars-project.eu/projects/streamlining-open-data-policies-rucio-data-management-platform [Google Scholar]
  34. S. Jutz, M.P. Milagro-Perez, Copernicus: the european earth observation programme, Revista de Teledetección pp. V–XI (2020). [Google Scholar]
  35. Spatiotemporal asset catalog (stac) specification, https://stacspec.org [Google Scholar]
  36. Dack, Thomas, Agostini, Federica, Basney, Jim, Cornwall, Linda, De Stefano Jr, John Steven, Dykstra, Dave, Giacomini, Francesco, Litmaath, Maarten, Miccoli, Roberta, Sallé, Mischa et al., Wlcg transition from x.509 to tokens. status, plans, and timeline, EPJ Web of Conf. 295, 04054 (2024). 10.1051/epjconf/202429504054 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  37. F. Stagni, A. Tsaregorodtsev, A. Sailer, C. Haen, The DIRAC interware: current, upcoming and planned capabilities and technologies, in EPJ Web of Conferences (EDP Sciences, 2020), Vol. 245, p. 03035 [Google Scholar]
  38. T. Barisits, Martin et Beermann, D. Cameron, J.A. Clark, R. Di Maria, G.G. Fronzé, I. Johnson, M. Lassnig, C. Serfon, E.W. Vaandering, Experience with Rucio in the wider HEP community, in EPJ Web of Conferences (EDP Sciences, 2021), Vol. 251, p. 02030 [Google Scholar]

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