Open Access
Issue
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 03060
Number of page(s) 8
Section T3 - Distributed computing
DOI https://doi.org/10.1051/epjconf/201921403060
Published online 17 September 2019
  1. B. Holzman et al., HEPCloud, a new paradigm for hep facilities: CMS Amazon Web Services Investigation (Computing and Software for Big Science, vol. 1, p. 1, 09 2017) [Google Scholar]
  2. E. Turban, R. Sharda, and D. Delen, Decision Support and Business Intelligence Systems, 9th ed. Prentice Hall Press, Upper Saddle River, NJ, USA. [Google Scholar]
  3. A. Tiradani et al., Fermilab HEPCloud Facility Decision Engine Design ( technical publication, DOI: 10.2172/1409072, 2017) [Google Scholar]
  4. M. Altunay, et al., Intelligently-automated facilities expansion with the HEPCloud Decision Engine (18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2018) [Google Scholar]
  5. S. Chatrchyan et al., The CMS Experiment at the CERN LHC (CMS Collaboration,DOI: 10.1088/1748-0221, 2008) [Google Scholar]
  6. D. Ayres et al., The NOvA Technical Design Report (NOvA Collaboration, FERMILAB-DESIGN-2007-01, DOI: 10.2172/935497, 2007) [Google Scholar]
  7. J. Grange et al., Muon g-2 Technical Design Report (Muon g-2 Collaboration, arXiv: 1501.06858) [Google Scholar]
  8. R. Acciarri et al., Design and Construction of the MicroBooNE Detector (MicrobooNE Collaboration, DOI: 101088/1748, 2017) [Google Scholar]
  9. R. Pordes et al., The Open Science Grid (Journal of Physics: Conference Series vol. 78, no. 1, p. 012057, 2007) [Google Scholar]
  10. Q. Lu, J. B Kowalkowski, and K. A Biery, The message logging system for nova experiment (Journal of Physics: Conference Series, vol. 331, p. 022017, 12 2011) [CrossRef] [Google Scholar]
  11. P. Mhashilkar et al., Cloud bursting with glideinWMS: Means to satisfy ever increasing computing needs for scientific workflows (Journal of Physics: Conference Series, vol. 513, no. 3, p. 032069, 2014) [CrossRef] [Google Scholar]
  12. L. Bryant et al., VC3: A Virtual Cluster Service for Community Computation (PEARC,2018) [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.