System Performance and Cost Modelling in LHC computing

Author:

Biscarat Catherine,Boccali Tommaso,Bonacorsi Daniele,Bozzi Concezio,Costanzo Davide,Duellmann Dirk,Elmsheuser Johannes,Fede Eric,Flix Molina José,Giordano Domenico,Grigoras Costin,Iven Jan,Jouvin Michel,Kemp Yves,Lange David,Meinhard Helge,Michelotto Michele,Douglas Roy Gareth,Sansum Andrew,Sartirana Andrea,Schulz Markus,Sciabà Andrea,Smirnova Oxana,Stewart Graeme,Valassi Andrea,Vernet Renaud,Wenaus Torre,Wuerthwein Frank

Abstract

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.

Publisher

EDP Sciences

Reference14 articles.

1. Worldwide LHC Computing Grid, http://wlcg.web.cern.ch

2. HEP Software Foundation, https://hepsoftwarefoundation.org/

3. Stewart G., Mete A.S., PrMon, https://doi.org/10.5281/zenodo.2554202

4. Muralidharan S., Smith D., Trident: A three pronged approach to analysing node utilisation, these proceedings

5. Sartirana A., Resource modeling, https://github.com/sartiran/resource-modeling/tree/wlcg-wg-new

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data center simulation for the BM@N experiment of the NICA project;PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020);2021

2. New developments in cost modeling for the LHC computing;EPJ Web of Conferences;2020

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