Open Access
Issue
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
Article Number 03032
Number of page(s) 7
Section 3 - Middleware and Distributed Computing
DOI https://doi.org/10.1051/epjconf/202024503032
Published online 16 November 2020
  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. Barisits M., Beermann T., Berghaus F. et al. Rucio: Scientific Data Management Computing and Software for Big Science 3, 11 (2019) [CrossRef] [Google Scholar]
  6. Django Project: https://www.djangoproject.com/ [Google Scholar]
  7. Docker: https://www.docker.com/ [Google Scholar]
  8. REBUS: https://gstat-wlcg.cern.ch/apps/topology/ [Google Scholar]
  9. http://www.uscms.org/SoftwareComputing/Grid/WMS/glideinWMS/doc.prd/ [Google Scholar]
  10. The ATLAS Collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, Journal of Instrumentation, 3, S08003 (2008) [Google Scholar]
  11. The CMS Collaboration, The CMS Experiment at the CERN LHC, Journal of Instrumentation, 3, S08004 (2008) [Google Scholar]
  12. Eerola Paula; et al. (2003). “The NorduGrid production Grid infrastructure, status and plans”. Proceedings of Fourth IEEE International Workshop on Grid Computing: 158–165. [Google Scholar]
  13. APEL, Accounting Processor for Event Logs, http://goc.grid.sinica.edu.tw/gocwiki/ApelHome [Google Scholar]
  14. J. Andreeva, D. Christidis, A. Di Girolamo, O. Keeble, WLCG space accounting in the SRM-less world, EPJ Web Conf. 214 (2019) [Google Scholar]
  15. Maeno T. and De K. and Wenaus T. and Nilsson, P. and Stewart, G.A. and Walker R. and Stradling A. and Caballero, J. and Potekhin M. and Smith D. (2011). “Overview of ATLAS PanDA workload management”. J. Phys.: Conf. Ser. 331, 072024 (2011) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.