Open Access
Issue
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 03003
Number of page(s) 8
Section T3 - Distributed computing
DOI https://doi.org/10.1051/epjconf/201921403003
Published online 17 September 2019
  1. I. Bird, Computing for the Large Hadron Collider, Annual Review of Nuclear and Particle Science , 61, 99–118 (2011) [CrossRef] [Google Scholar]
  2. G. Mathieu, A. Richards, J. Gordon, C.D.C. Novales, P. Colclough, and M. Viljoen. GOCDB, a topology repository for a worldwide grid infrastructure, J. Phys.: Conf. Ser. 219, 062021 (2010) [CrossRef] [Google Scholar]
  3. OIM: https://oim.opensciencegrid.org [Google Scholar]
  4. A. Anisenkov, A.D. Girolamo and M.A. Pradillo AGIS: Integration of new technologies used in ATLAS Distributed Computing J. Phys.: Conf. Ser. 898, 92023 (2017) [CrossRef] [Google Scholar]
  5. Django Project: https://www.djangoproject.com/ [Google Scholar]
  6. REBUS: https://www.djangoproject.com/ [Google Scholar]
  7. S. Campana, et al. ATLAS Distributed Computing in LHC Run2, J. Phys.: Conf. Ser. 663, 032004 (2015) [CrossRef] [Google Scholar]

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