Open Access
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 04017
Number of page(s) 8
Section T4 - Data handling
Published online 17 September 2019
  1. The ATLAS collaboration (2008) JINST 3 S08003. [Google Scholar]
  2. Barberis D (2012) “Evolution of grid-wide access to database resident information in ATLAS using Frontier”, J. Phys.: Conf. Ser. 396 052025. [CrossRef] [Google Scholar]
  3. Oracle Database, [Google Scholar]
  4. Barreiro Megino F H (2017) “PanDA for ATLAS distributed computing in the next decade”, J. Phys.: Conf. Ser. 898 052002. [CrossRef] [Google Scholar]
  5. Calafiura P (2015) “Running ATLAS workloads within massively parallel distributed applications using Athena multi-process framework (AthenaMP)”, J. Phys.: Conf. Ser. 664 072050. [CrossRef] [Google Scholar]
  6. Elasticsearch: [Google Scholar]
  7. Svatos M “Understanding the evolution of conditions data access through Frontier for the ATLAS Experiment”, EPJ Conf. for CHEP’18 (to be published). [Google Scholar]
  8. Filebeat: [Google Scholar]
  9. Logstash: [Google Scholar]
  10. Gallas E J, Albrand S, Borodin M, Formica A (2014) “Utility of collecting metadata to manage a large scale conditions database in ATLAS”, J. Phys.: Conf. Ser. 513 042020. [CrossRef] [Google Scholar]
  11. Rinaldi L, Gallas E J, Formica A (2018) “Optimizing access to conditions data in ATLAS event data processing”, EPJ Conf. for CHEP’18 (to be published). [Google Scholar]
  12. Lampl W (2018) “A new approach for ATLAS Athena job configuration”, EPJ Conf. for CHEP’18 (to be published). [Google Scholar]
  13. Rinaldi L, Formica A, Gallas E J, Ozturk N, Roe S (2018) “Conditions evolution of an experiment in mid-life, without the crisis (in ATLAS)”, EPJ Conf. for CHEP’18 (to be published). [Google Scholar]
  14. Leggett C, Shapoval I, Snyder S, Tsulaia V (2018) “Conditions data handling in the multithreaded ATLAS framework”, EPJ Conf. for CHEP’18 (to be published). [Google Scholar]

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