Operation of the ATLAS Distributed Computing

Fernando Barreiro Magino; David Cameron; Alessandro Di Girolamo; Andrej Filipcic; Ivan Glushkov; Federica Legger; Tadashi Maeno; Rodney Walker

doi:10.1051/epjconf/201921403049

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EPJ Web of Conferences 214, 03049 (2019)
https://doi.org/10.1051/epjconf/201921403049

Operation of the ATLAS Distributed Computing

Fernando Barreiro Magino¹, David Cameron², Alessandro Di Girolamo³, Andrej Filipcic⁴, Ivan Glushkov¹^*, Federica Legger⁵, Tadashi Maeno⁶ and Rodney Walker⁵^** on behalf of the ATLAS Collaboration

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

Abstract

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.