Status and Evolution of ATLAS Workload Management System PanDA

The ATLAS experiment at the LHC uses a sophisticated workload management system, PanDA, to provide access for thousands of physicists to distributed computing resources of unprecedented scale. This system has proved to be robust and scalable during three years of LHC operations. We describe the desi...

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Autor principal: De, K
Lenguaje:eng
Publicado: 2012
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/1462237
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author De, K
author_facet De, K
author_sort De, K
collection CERN
description The ATLAS experiment at the LHC uses a sophisticated workload management system, PanDA, to provide access for thousands of physicists to distributed computing resources of unprecedented scale. This system has proved to be robust and scalable during three years of LHC operations. We describe the design and performance of PanDA in ATLAS. The features which make PanDA successful in ATLAS could be applicable to other exabyte scale scientific projects. We describe plans to evolve PanDA towards a general workload management system for the new BigData initiative announced by the US government. Other planned future improvements to PanDA will also be described
id cern-1462237
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
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spelling cern-14622372019-09-30T06:29:59Zhttp://cds.cern.ch/record/1462237engDe, KStatus and Evolution of ATLAS Workload Management System PanDADetectors and Experimental TechniquesThe ATLAS experiment at the LHC uses a sophisticated workload management system, PanDA, to provide access for thousands of physicists to distributed computing resources of unprecedented scale. This system has proved to be robust and scalable during three years of LHC operations. We describe the design and performance of PanDA in ATLAS. The features which make PanDA successful in ATLAS could be applicable to other exabyte scale scientific projects. We describe plans to evolve PanDA towards a general workload management system for the new BigData initiative announced by the US government. Other planned future improvements to PanDA will also be describedATL-SOFT-SLIDE-2012-443oai:cds.cern.ch:14622372012-07-17
spellingShingle Detectors and Experimental Techniques
De, K
Status and Evolution of ATLAS Workload Management System PanDA
title Status and Evolution of ATLAS Workload Management System PanDA
title_full Status and Evolution of ATLAS Workload Management System PanDA
title_fullStr Status and Evolution of ATLAS Workload Management System PanDA
title_full_unstemmed Status and Evolution of ATLAS Workload Management System PanDA
title_short Status and Evolution of ATLAS Workload Management System PanDA
title_sort status and evolution of atlas workload management system panda
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1462237
work_keys_str_mv AT dek statusandevolutionofatlasworkloadmanagementsystempanda

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