Open Access
Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
---|---|---|
Article Number | 01020 | |
Number of page(s) | 7 | |
Section | 1 - Online and Real-time Computing | |
DOI | https://doi.org/10.1051/epjconf/202024501020 | |
Published online | 16 November 2020 |
- The ATLAS Collaboration, JINST 3, S08003 (2008) [Google Scholar]
- M. Barczyk et al., eConf C0303241, THGT003 (2003), hep-ex/0305096 [Google Scholar]
- The ATLAS TDAQ Collaboration, JINST 11, P06008 (2016) [Google Scholar]
- Common object request broker architecture, https://www.corba.org/ [Google Scholar]
- A.D. Sicoe, G.L. Miotto, L. Magnoni, S. Kolos, I. Soloviev, Journal of Physics: Conference Series 368, 012002 (2012) [CrossRef] [Google Scholar]
- EOS open storage documentation, http://eos-docs.web.cern.ch/ [Google Scholar]
- SPLUNK the data-to-everything platform, http://splunk.com/ [Google Scholar]
- A. Kazarov, G. Avolio, A. Chitan, M. Mineev, J. Phys. Conf. Ser. 1085, 032052 (2018) [Google Scholar]
- Google Protocol Buffers, https://developers.google.com/protocol-buffers [Google Scholar]
- G. Avolio, M. D’Ascanio, G. Lehmann-Miotto, I. Soloviev, Journal of Physics: Conference Series 898, 032010 (2017) [CrossRef] [Google Scholar]
- Grafana the open observability platform, http://grafana.com/ [Google Scholar]
- Interactive data analysis in the cloud, https://swan.web.cern.ch/ [Google Scholar]
- R. Brun et al., Computer Physics Communications 180, 2499 (2009) [Google Scholar]
- matplotlib python plotting library, https://matplotlib.org/ [Google Scholar]
- ATLAS Collaboration, Data Acquisition and High Level Trigger system Public Results (2020), https://twiki.cern.ch/twiki/bin/view/AtlasPublic/ApprovedPlotsDAQ [Google Scholar]
- Influx open source time series database, https://www.influxdata.com/ [Google Scholar]
- ClickHouse open source column-oriented DBMS, https://clickhouse.yandex/ [Google Scholar]
- M.E. Vasile, G. Avolio, I. Soloviev, Tech. Rep. ATL-DAQ-PROC-2019-008, CERN, Geneva (2019), https://cds.cern.ch/record/2674879 [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.