| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 03019 | |
| Number of page(s) | 8 | |
| Section | T3 - Distributed computing | |
| DOI | https://doi.org/10.1051/epjconf/201921403019 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921403019
System Performance and Cost Modelling in LHC computing
1
Univ. Grenoble Alpes, CNRS, Grenoble INP,
Grenoble,
LPSC-IN2P3,,
France
2
INFN Sezione di Pisa,
Pisa
Italy
3
INFN Sezione di Bologna, Università di Bologna,
Bologna
Italy
4
European Organisation for Nuclear Research (CERN),
Geneva,
Switzerland
5
Università e INFN, Ferrara,
Ferrara
Italy
6
Department of Physics and Astronomy, University of Sheffield,
Sheffield,
United Kingdom
7
Physics Department, Brookhaven National Laboratory,
Upton, NY,
USA
8
Centre de Calcul de l’IN2P3 du CNRS,
Lyon,
France
9
Centro de Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT),
Madrid,
Spain
10
LAL, Université Paris-Sud and CNRS/IN2P3,
Orsay
France
11
Deutsches Elektronen-Synchrotron,
Hamburg,
Germany
12
Princeton University,
Princeton, NJ,
USA
13
INFN Sezione di Padova, Università di Padova,
Padova,
Italy
14
SUPA - School of Physics and Astronomy, University of Glasgow,
Glasgow,
United Kingdom
15
STFC Rutherford Appleton Laboratory,
Didcot,
United Kingdom
16
Laboratoire Leprince-Ringuet, Ecole Polytechnique, CNRS/IN2P3, Université Paris-Saclay,
Palaiseau,
France
17
Lunds Universitet, Fysiska Institutionen, Avdelningen för Experimentell Högenergifysik, Box 118,
221 00,
Lund
Sweden
18
University of California,
San Diego, La Jolla, CA
USA
* email: Andrea.Sciaba@cern.ch
Published online: 17 September 2019
The increase in the scale of LHC computing expected for Run 3 and even more so for Run 4 (HL-LHC) over the next ten years will certainly require radical changes to the computing models and the data processing of the LHC experiments. Translating the requirements of the physics programmes into computing resource needs is a complicated process and subject to significant uncertainties. For this reason, WLCG has established a working group to develop methodologies and tools intended tocharacterise the LHC workloads, better understand their interaction with the computing infrastructure, calculate their cost in terms of resources and expenditure and assist experiments, sites and the WLCG project in the evaluation of their future choices. This working group started in November 2017 and has about 30 active participants representing experiments and sites. In this contribution we expose the activities, the results achieved and the future directions.
© The Authors, published by EDP Sciences, 2019
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