EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 245 (2020) EPJ Web Conf., 245 (2020) 07051 References
Open Access
Issue
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
Article Number 07051
Number of page(s) 8
Section 7 - Facilities, Clouds and Containers
DOI https://doi.org/10.1051/epjconf/202024507051
Published online 16 November 2020
  1. HEPiX-Team, (2020), High-energy physics information exchange, Retrieved from https://www.hepix.org/ [accessed2020-07-19] [Google Scholar]
  2. HEPiX NFV Working Group, Tech. rep. (2019), https://doi.org/10.5281/zenodo.3565562 [Google Scholar]
  3. B. Burns, B. Grant, D. Oppenheimer, E. Brewer, J. Wilkes, ACM Queue 14, 70 (2016) [Google Scholar]
  4. Kubernetes | production-grade container orchestration (2018), https://kubernetes.io/ [Google Scholar]
  5. R. Gardner, J. Breen, L. Bryant, S. McKee, SLATE and the Mobility of Capability (2017), http://par.nsf.gov/biblio/10064986 [Google Scholar]
  6. M. Barisits, F. Barreiro, T. Beermann, K. De, A. Dubreuil, J. Elmsheuser, A. Klimentov, M. Lassnig, P. Love, T. Maeno et al. (ATLAS Collaboration), Tech. Rep. ATL-SOFT-PROC-2018-034, CERN, Geneva (2018), https://cds.cern.ch/record/2648962 [Google Scholar]
  7. C. Clos, A study of non-blocking switching networks (1953), Vol. 32, pp. 406–424, ISSN 0005-8580 [Google Scholar]
  8. I. Bird, S. Campana, M. Girone, X. Espinal, G. McCance, J. Schovancová, Architecture and prototype of a WLCG data lake for HL-LHC (2019), Vol. 214, p. 04024 [Google Scholar]
  9. D. Thain, T. Tannenbaum, M. Livny, Concurrency and Computation: Practice and Experience 17, 323 (2005), https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.938 [Google Scholar]
  10. L. Evans, P. Bryant, LHC Machine (IOP Publishing, 2008), Vol. 3, pp. S08001–S08001, https://doi.org/10.1088%2F1748-0221%2F3%2F08%2Fs08001 [Google Scholar]
  11. I. Monga, (2020), SDN for end-to-end networking @ exascale, Retrieved from http://es.net/assets/pubs_presos/SENSE-Thomas-20160217-on-Web.pdf [accessed2020-07-19] [Google Scholar]
  12. Martelli Edoardo, Manzi Andrea, Keeble Oliver, Cass Tony, Busse-Grawitz Coralie, To appear in proceedings of CHEP 2019, EPJ Web Conf. (2020) [Google Scholar]
  13. Q. Lu, L. Zhang, S. Sasidharan, W. Wu, P. DeMar, C. Guok, J. Macauley, I. Monga, S. Yu, J.H. Chen et al., BigData Express: Toward Schedulable, Predictable, and HighPerformance Data Transfer, in 2018 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS) (2018), pp. 75–84 [Google Scholar]
  14. ESnet-Team, (Feb 2020), Energy sciences network, Retrieved from http://www.es.net/ [accessed2020-07-19] [Google Scholar]
  15. GEANT-Team, (Feb 2020), GÉANT is the leading collaboration on e-infrastructure and services for research and education., Retrieved from http://geant.org/ [Google Scholar]
  16. J. Metzger, (2020), ESnet6: an entirely new software-driven network design that enhances the ability to rapidly invent, test, and deploy new innovations., Wikipedia, Retrieved from https://en.wikipedia.org/wiki/Energy_Sciences_Network#ESnet6 [Google Scholar]
  17. I. Baldin, A. Nikolich, J. Griffioen, I. Monga, K.C. Wang, T. Lehman, P. Ruth, FABRIC: A National-Scale Programmable Experimental Network Infrastructure (2020), Vol. 23, http://par.nsf.gov/biblio/10132161 [Google Scholar]
  18. GEANT-Developers, (2019), D6.2 automation and orchestration of services in the GEANT community, Web document, Retrieved from https://www.geant.org/Projects/GEANT_Project_GN4-3/Pages/GN4-3_Deliverables.aspx\hspace [accessed2020-07-19] [Google Scholar]
  19. GEANT-Developers, (2020), GÉANT testbeds service, Web Page, Retrieved from https://www.geant.org/Services/Connectivity_and_network/GTS/Pages/Home.aspxv[accessed2020-07-19] [Google Scholar]
  20. E. Martelli, S. Stancu, LHCOPN and LHCONE: Status and Future Evolution (2015), Vol. 664, p. 052025, http://stacks.iop.org/1742-6596/664/i=5/a=052025 [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.