EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||7|
|Section||T3 - Distributed computing|
|Published online||17 September 2019|
Operation of the ATLAS Distributed Computing
University of Texas at Arlington,
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  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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Initial download of the metrics may take a while.