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All issues Volume 337 (2025) EPJ Web Conf., 337 (2025) 01117 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 01117
Number of page(s) 7
DOI https://doi.org/10.1051/epjconf/202533701117
Published online 07 October 2025
  1. The ATLAS Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, JINST 3, S08003 (2008). https://doi.org/10.1088/1748-0221/3/08/S08003 [Google Scholar]
  2. T. Maeno, A. Alekseev, M. Barreiro, et al., PanDA: Production and Distributed Analysis System (2024), https://doi.org/10.1007/s41781-024-00114-3 [Google Scholar]
  3. B. Galewsky, R. Gardner, L. Gray, M. Neubauer, J. Pivarski, M. Prott, I. Vukotic, G. Watts, and M. Weinberg. ServiceX A Distributed, Caching, Columnar Data Delivery Service. EPJ Web Conf., 245:04043, 2020. [Google Scholar]
  4. IRIS-HEP website. http://iris-hep.org [Google Scholar]
  5. M. Proffitt and G. Watts, FuncADL: Functional Analysis Description Language, EPJ Web Conf., vol. 251, p. 03068, 2021. DOI: 10.1051/epjconf/202125103068. Available at: https://arxiv.org/abs/2103.02432. [Google Scholar]
  6. O. Rind, D. Benjamin, L. Bryant, C. Caramarcu, R. Gardner, F. Golnaraghi, C. Hollowell, F. Hu, D. Jordan, J. Stephen, I. Vukotic and W. Yang EPJ Web of Conf., 295 (2024) 07043 DOI: https://doi.org/10.1051/epjconf/202429507043 [Google Scholar]
  7. I. Baldin, A. Nikolich, J. Griffioen, I. Monga, K. Wang, T. Lehman, and P. Ruth. Fabric: A national-scale programmable experimental network infrastructure. IEEE Internet Computing 23, no. 6 (2019): 38-47, https://ieeexplore.ieee.org/document/8972790 [Google Scholar]
  8. Dask Development Team (2016). Dask: Library for dynamic task scheduling http://dask. pydata.org [Google Scholar]
  9. T. Douglas, T. Todd, L. Miron (2005). Distributed Computing in Practice: the Condor Experience. Concurrency and Computation: Practice and Experience. 17 (2–4): 323–356. [CrossRef] [Google Scholar]
  10. JupyterLab documentation. Accessed on 2025-12-14. https://jupyterlab.readthedocs.io/ [Google Scholar]
  11. Ceph. Ceph: The Future of Storage. Retrieved January 27, 2025, from https://ceph.io/ [Google Scholar]
  12. Helm, Available at: https://helm.sh/ (Accessed: 2025) [Google Scholar]
  13. A. Dorigo, P. Elmer, F. Furano, A. Hanushevsky, Xrootd - a highly scalable architecture for data access (2005) [Google Scholar]
  14. Kubernetes-SIGs. Kubespray: Deploy a Production Ready Kubernetes Cluster. Retrieved January 27, 2025, from https://github.com/kubernetes-sigs/kubespray [Google Scholar]
  15. Kubernetes-SIGs. FluxCD: GitOps operator for Kubernetes. Retrieved January 27, 2025, from https://fluxcd.io [Google Scholar]
  16. Intel Corporation. (2018). Multus: CNI Implementation in Kubernetes2. Retrieved January 27, 2025, from https://github.com/k8snetworkplumbingwg/multus-cni [Google Scholar]
  17. J. Zurawski, B. Brown, G. Rai, E. Dart, C. Dawson, C. Hawk, P. Mantica, S. Margetis, K. Miller, N. Miller, A. Wiedlea (2024). Nuclear Physics Network Requirements Review (Final Report). OSTI.GOV. https://doi.org/10.2172/2386941.ESnetTechnicalOverview [Google Scholar]
  18. E. Martelli, S. Stancu (2015). LHCOPN and LHCONE: Status and Future Evolution. Journal of Physics: Conference Series, 664, 052025. https://doi.org/10.1088/1742-6596/664/5/052025 [CrossRef] [Google Scholar]
  19. R. Brun and F. Rademakers. ROOT An object oriented data analysis framework. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 389(1):8186, 1997. In New Computing Techniques in Physics Research V. [Google Scholar]
  20. M. Barisits, T. Beermann, F. Berghaus, B. Bockelman, J. Bogado, et al. Rucio: Scientific Data Management, Computing and Software for Big Science (2019) 3:11 https://doi.org/10.1007/s41781-019-0026-3 [CrossRef] [Google Scholar]

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