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Computing for the LHC: operations during Run2 and getting ready for Run 3
The computing infrastructure for the LHC data handling (Worldwide LHC Computing Grid- WLCG) was well prepared for Run 2 and delivered a steady data processing since the first colli- sions. Over the past years including the Run 1 period of the LHC the WLCG developed a unique expertise in building and...
Autores principales: | , |
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Lenguaje: | eng |
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SISSA
2016
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Acceso en línea: | https://dx.doi.org/10.22323/1.272.0008 http://cds.cern.ch/record/2264506 |
_version_ | 1780954405298765824 |
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author | Adamova, Dagmar Litmaath, Maarten |
author_facet | Adamova, Dagmar Litmaath, Maarten |
author_sort | Adamova, Dagmar |
collection | CERN |
description | The computing infrastructure for the LHC data handling (Worldwide LHC Computing Grid- WLCG) was well prepared for Run 2 and delivered a steady data processing since the first colli- sions. Over the past years including the Run 1 period of the LHC the WLCG developed a unique expertise in building and operating a very large scale infrastructure for unprecedented amounts of LHC-produced data. Together with other research projects the WLCG entered the era of Data Intensive Science. The cost of Computing infrastructures and services reached the level needed for building the LHC detectors. In this contribution, we will present ongoing and planned devel- opments to evolve the computing models towards the needs for the High Luminosity (HL) LHC, including the disappearance of the distinction between “online” and “offline”, analyses of the physics performance and corresponding computing costs, and inter-operation between commer- cial cloud services and publicly funded e-infrastructures. |
id | oai-inspirehep.net-1504314 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | SISSA |
record_format | invenio |
spelling | oai-inspirehep.net-15043142019-10-15T15:27:47Zdoi:10.22323/1.272.0008http://cds.cern.ch/record/2264506engAdamova, DagmarLitmaath, MaartenComputing for the LHC: operations during Run2 and getting ready for Run 3Computing and ComputersThe computing infrastructure for the LHC data handling (Worldwide LHC Computing Grid- WLCG) was well prepared for Run 2 and delivered a steady data processing since the first colli- sions. Over the past years including the Run 1 period of the LHC the WLCG developed a unique expertise in building and operating a very large scale infrastructure for unprecedented amounts of LHC-produced data. Together with other research projects the WLCG entered the era of Data Intensive Science. The cost of Computing infrastructures and services reached the level needed for building the LHC detectors. In this contribution, we will present ongoing and planned devel- opments to evolve the computing models towards the needs for the High Luminosity (HL) LHC, including the disappearance of the distinction between “online” and “offline”, analyses of the physics performance and corresponding computing costs, and inter-operation between commer- cial cloud services and publicly funded e-infrastructures.SISSAoai:inspirehep.net:15043142016 |
spellingShingle | Computing and Computers Adamova, Dagmar Litmaath, Maarten Computing for the LHC: operations during Run2 and getting ready for Run 3 |
title | Computing for the LHC: operations during Run2 and getting ready for Run 3 |
title_full | Computing for the LHC: operations during Run2 and getting ready for Run 3 |
title_fullStr | Computing for the LHC: operations during Run2 and getting ready for Run 3 |
title_full_unstemmed | Computing for the LHC: operations during Run2 and getting ready for Run 3 |
title_short | Computing for the LHC: operations during Run2 and getting ready for Run 3 |
title_sort | computing for the lhc: operations during run2 and getting ready for run 3 |
topic | Computing and Computers |
url | https://dx.doi.org/10.22323/1.272.0008 http://cds.cern.ch/record/2264506 |
work_keys_str_mv | AT adamovadagmar computingforthelhcoperationsduringrun2andgettingreadyforrun3 AT litmaathmaarten computingforthelhcoperationsduringrun2andgettingreadyforrun3 |