Open Access
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 03043
Number of page(s) 8
Section T3 - Distributed computing
Published online 17 September 2019
  1. ALICE Collaboration, The ALICE experiment at the CERN LHC, JINST 3 S08002, (2008) [Google Scholar]
  2. ALICE Collaboration, Technical Design Report for the Upgrade of the Online–Offline Computing System,CERN-LHCC-2015-006 (2015) [Google Scholar]
  3. J. Mitra et al, Common Readout Unit (CRU) - A new readout architecture for the ALICE experiment, JINST 11 C03021 (2016) [CrossRef] [Google Scholar]
  4. ALICE O2 monitoring library,, accessed 2018-10-10 [Google Scholar]
  5. MonALISA,, Accessed: 2018-10-10 [Google Scholar]
  6. Zabbix The Enterprise Class Open Source Network Monitoring Solution,, accessed 2018-10-16 [Google Scholar]
  7. Collectd – The system statistics collection daemon,, accessed 2018-10-10 [Google Scholar]
  8. Apache Flume,, accessed 2018-10-16 [Google Scholar]
  9. Apache Spark - Unified Analytics Engine for Big Data,, accessed 2018-10-16 [Google Scholar]
  10. InfluxDB - The Time Series Database in the TICK Stack,, accessed : 2018-10-08 [Google Scholar]
  11. Grafana - The open platform for analytics and monitoring,, accessed 2018-10-16 [Google Scholar]
  12. Riemann - A network monitoring system,, accessed 2018-10-16 [Google Scholar]
  13. Christopher Hollowell et al, The Effect of NUMA Tunings on CPU Performance, J. Phys.: Conf. Ser. 664 092010 (2015) [CrossRef] [Google Scholar]
  14. V. Barroso, G. Vino, A. Wegrzynek, Monitoring the New ALICE Online Offline Computing System, ICALEPCS'17, pp. 195-200 (2018) [Google Scholar]
  15. InfluxDB – Downsampling and data retention,, accessed 2018-10-16 [Google Scholar]
  16. B. von Haller, P. Lesiak, J. Otwinowski, Design of the data quality control system for the ALICE O2, J. Phys. Conf. Ser. 898 032001 (2017) [Google Scholar]
  17. G. Eulisse, P. Konopka, M. Krzewicki, M. Richter, D. Rohr, S. Wenzel, Evolution of the ALICE Software Framework for LHC Run 3, these proceedings (2019) [Google Scholar]
  18. F. Costa, S. Chapeland, Readout software for the ALICE integrated Online-Offline (O2) system, these proceedings (2019) [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.