| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 03049 | |
| Number of page(s) | 7 | |
| Section | T3 - Distributed computing | |
| DOI | https://doi.org/10.1051/epjconf/201921403049 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921403049
Operation of the ATLAS Distributed Computing
1
University of Texas at Arlington,
USA
2
University of Oslo,
Norway
3
European Laboratory for Particle Physics (CERN),
Switzerland
4
Joseph Stefan Institute,
Slovenia
5
Ludwig-Maximilians-University,
Germany
6
Brookhaven National Laboratory (BNL),
USA
* e-mail: Ivan.Glushkov@cern.ch
** Copyright [2018] CERN for the benefit of the [ATLAS Collaboration]. Reproduction of this article or part of it is allowed as specified in the CC-BY-4.0 license
Published online: 17 September 2019
ATLAS is one of the four experiments collecting data from the proton-proton collisions at the Large Hadron Collider. The offline processing and storage of the data is handled by a custom heterogenous distributed computing system. This paper summarizes some of the challenges and operations-driven solutions introduced in the system.
© The Authors, published by EDP Sciences, 2019
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