Open Access
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
Article Number 02055
Number of page(s) 9
Section Distributed Computing, Data Management and Facilities
Published online 23 August 2021
  1. The Glidein-based Workflow Management System,, accessed February, 2021. [Google Scholar]
  2. HTCondor public web site,, accessed February, 2021. [Google Scholar]
  3. J. Balcas et al. “Using the glideinWMS System as a Common Resource Provisioning Layer in CMS”, J. Phys.: Conf. Ser. 664 062031 (2015). [Google Scholar]
  4. TheWorldwide LHC Computing Grid, accessed February, 2021. [Google Scholar]
  5. D. Spiga et al. “Exploiting private and commercial clouds to generate on-demand CMS computing facilities with DODAS”, EPJ Web of Conferences. 214. 07027 (2019). [EDP Sciences] [Google Scholar]
  6. D. P. Anderson. “BOINC: A Platform for Volunteer Computing”, J Grid Computing (2019). [Google Scholar]
  7. LHC at Home,, accessed February, 2021. [Google Scholar]
  8. D. Da Silva Gomes et al. “Experience with dynamic resource provisioning of the CMS online cluster using a cloud overlay”, EPJ Web of Conferences. 214. 07017 (2019). [Google Scholar]
  9. Consorzio Interuniversitario del Nordest Italiano Per il Calcolo Automatico (CINECA), accessed February, 2021. [Google Scholar]
  10. M. Schnepf et al. "Dynamic Integration and Management of Opportunistic Resources for HEP", EPJ Web of Conferences 214, 08009 (2019). [EDP Sciences] [Google Scholar]
  11. A. Pérez-Calero Yzquierdo et al. “CMS Strategy for HPC resource exploitation”, EPJ Web of Conferences 245, 09012 (2020). [EDP Sciences] [Google Scholar]
  12. D. Smith et al. “Sharing server nodes for storage and computer”, EPJ Web of Conferences. 214. 08025 (2019). [Google Scholar]
  13. D. Giordano et al. “CERN-IT evaluation of Microsoft Azure cloud IaaS, ”,, accessed February, 2021. [Google Scholar]
  14. S. Timm et al. “Virtual machine provisioning, code management, and data movement design for the Fermilab HEPCloud Facility”, J. Phys.: Conf. Ser. 898 052041 (2017). [Google Scholar]
  15. National Energy Research Scientific Computing Center (NERSC) https://www.nersc. gov, accessed February, 2021. [Google Scholar]
  16. CMS Offine and Computing Public Results,, accessed February, 2021. [Google Scholar]
  17. CMS Offine Software and Computing. “Evolution of the CMS Computing Model towards Phase-2”, CMS NOTE-2021/001 (2021), [Google Scholar]
  18. HTCondor Manual Documentation,, accessed February, 2021. [Google Scholar]
  19. E. M. Fajardo et al. “How much higher can HTCondor fly?”, J. Phys.: Conf. Ser. 664 062014 (2015). [Google Scholar]
  20. J. Balcas et al. “Pushing HTCondor and glideinWMS to 200K+ Jobs in a Global Pool for CMS before Run 2”, J. Phys.: Conf. Ser. 664 062030 (2015). [Google Scholar]

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