EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||8|
|Section||T3 - Distributed computing|
|Published online||17 September 2019|
System Performance and Cost Modelling in LHC computing
Univ. Grenoble Alpes, CNRS, Grenoble INP,
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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