Open Access
Issue
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 07027
Number of page(s) 8
Section T7 - Clouds, virtualisation & containers
DOI https://doi.org/10.1051/epjconf/201921407027
Published online 17 September 2019
  1. DODAS Project: https://dodas-ts.github.io/dodas-doc/ [Google Scholar]
  2. EOSC-hub project: https://eosc-hub.eu/ [Google Scholar]
  3. Apache Software Foundation: Apache Mesos. http://mesos.apache.org/ (2018) [Google Scholar]
  4. S. Chatrchyan et al. CMS Collaboration 2008 The CMS experiment at the CERN LHC J. Inst. 3 S08004 [Google Scholar]
  5. L. Evans and P. Bryant (editors), “LHC Machine”, JINST 3 (2008) S08001, doi:10.1088/1748-0221/3/08/S08001 [Google Scholar]
  6. The Alpha Magnetic Spectrometer (AMS) on the International Space Station: Part I – results from the test flight on the space shuttle. Physics Reports, 366(6):331 – 405,2002 [Google Scholar]
  7. Balcas J et al. 2015 Using the glideinWMS system as a common resource provisioning layer in CMS J. Phys. Conf. Ser 2015 J. Phys.: Conf. Ser. 664 062030 [Google Scholar]
  8. Thain D, Tannenbaum T and Livny M 2004 Distributed computing in practice: the condor experience Concurrency: Pract. Exper. 17 323–356 [Google Scholar]
  9. Salomoni, D., Campos, I., Gaido, L. et al. J Grid Computing (2018) 16: 381. https://doi.org/10.1007/s10723-018-9453-3 [Google Scholar]
  10. eduGAIN interfederation http://www.geant.org/Services/Trust_identity_and_security/eduGAIN [Google Scholar]
  11. Caballer, M., Zala, S., García, Á. et al. J Grid Computing (2018) 16: 3. https://doi.org/10.1007/s10723-017-9418-y [CrossRef] [Google Scholar]
  12. Palma, D., Rutkowski, M., Spatzier T.: TOSCA Simple Profile in YAML Version 1.1. Tech. rep., OASIS Standard. http://docs.oasis-open.org/tosca/TOSCA-Simple-Profile-YAML/v1.1/TOSCA-Simple-Profile-YAML-v1.1.html (2016) [Google Scholar]
  13. Marathon. https://mesosphere.github.io/marathon/ (2018) [Google Scholar]
  14. Matei Zaharia, Reynold S. Xin, et al. 2016. Apache Spark: a unified engine for big data processing. 59, 11 (October 2016), 56–65. DOI: https://doi.org/10.1145/2934664 [Google Scholar]
  15. WLCG - Worldwide LHC Computing Grid, http://wlcg.web.cern.ch. [Google Scholar]
  16. Dirk Merkel. Docker: lightweight linux containers for consistent development and deployment. Linux Journal, 2014(239):2, 2014 [Google Scholar]
  17. Dave Dykstra and Lee Lueking 2010 Greatly improved cache update times for conditions data with Frontier/Squid J. Phys.: Conf. Ser. 219 072034 [CrossRef] [Google Scholar]
  18. P Buncic et al 2010 J. Phys.: Conf. Ser. 219 042003 [Google Scholar]
  19. Dorigo A., Elmer P., Furano F., and Hanushevsky A. XROOTD - a highly scalable architecture for data access. WSEAS Transactions on Computers, 4(4):348–353, April 2005 [Google Scholar]
  20. OpenStack Foundation: OpenStack. https://www.openstack.org (2018) [Google Scholar]
  21. CMS Collaboration (Petrucciani G., Rizzi, A., and Vuosalo C.), Mini-AOD: A New Analysis Data Format for CMS, Journal of Physics: Conference Series 664 (2015) 072052, DOI: 10.1088/1742-6596/664/7/072052 [CrossRef] [Google Scholar]
  22. Alwall J. et al. MadGraph 5 : Going Beyond, JHEP 1106 (2011) 128, DOI: 10.1007/JHEP06(2011)128 [CrossRef] [Google Scholar]
  23. Alwall J. et al., The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations, JHEP 1407 (2014) 079, DOI: 10.1007/JHEP07(2014)079 [CrossRef] [Google Scholar]
  24. Alwall J. et al. A Standard format for Les Houches event files, Comput.Phys.Commun. 176 (2007) 300–304, DOI: 10.1016/j.cpc.2006.11.010 [CrossRef] [Google Scholar]
  25. Torbjörn Sjöstrand et al. An Introduction to PYTHIA 8.2, Comput.Phys.Commun. 191 (2015) 159–177, DOI: 10.1016/j.cpc.2015.01.024 [CrossRef] [Google Scholar]
  26. GEANT4 Collaboration ( S. Agostinelli et al.), GEANT4: A Simulation toolkit, Nucl.Instrum.Meth. A506 (2003) 250–303, DOI: 10.1016/S0168-9002(03)01368-8 [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.