A Study of ATLAS Grid Performance for Distributed Analysis

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In the past two years the ATLAS Collaboration at the LHC has collected a large volume of data and published a number of ground breaking papers. The Grid-based ATLAS distributed computing infrastructure played a crucial role in enabling timely analysis of the data. We will present a study of the perf...

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Detalles Bibliográficos
Autores principales: Panitkin, S, Fayn, V, Wenaus, T
Lenguaje:eng
Publicado: 2012
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/396/3/032085
http://cds.cern.ch/record/1450172
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author Panitkin, S
Fayn, V
Wenaus, T
author_facet Panitkin, S
Fayn, V
Wenaus, T
author_sort Panitkin, S
collection CERN
description In the past two years the ATLAS Collaboration at the LHC has collected a large volume of data and published a number of ground breaking papers. The Grid-based ATLAS distributed computing infrastructure played a crucial role in enabling timely analysis of the data. We will present a study of the performance and usage of the ATLAS Grid as platform for physics analysis in 2011. This includes studies of general properties as well as timing properties of user jobs (wait time, run time, etc). These studies are based on mining of data archived by the PanDA workload management system.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
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spelling cern-14501722019-09-30T06:29:59Zdoi:10.1088/1742-6596/396/3/032085http://cds.cern.ch/record/1450172engPanitkin, SFayn, VWenaus, TA Study of ATLAS Grid Performance for Distributed AnalysisDetectors and Experimental TechniquesIn the past two years the ATLAS Collaboration at the LHC has collected a large volume of data and published a number of ground breaking papers. The Grid-based ATLAS distributed computing infrastructure played a crucial role in enabling timely analysis of the data. We will present a study of the performance and usage of the ATLAS Grid as platform for physics analysis in 2011. This includes studies of general properties as well as timing properties of user jobs (wait time, run time, etc). These studies are based on mining of data archived by the PanDA workload management system.ATL-SOFT-PROC-2012-047oai:cds.cern.ch:14501722012-05-22
spellingShingle Detectors and Experimental Techniques
Panitkin, S
Fayn, V
Wenaus, T
A Study of ATLAS Grid Performance for Distributed Analysis
title A Study of ATLAS Grid Performance for Distributed Analysis
title_full A Study of ATLAS Grid Performance for Distributed Analysis
title_fullStr A Study of ATLAS Grid Performance for Distributed Analysis
title_full_unstemmed A Study of ATLAS Grid Performance for Distributed Analysis
title_short A Study of ATLAS Grid Performance for Distributed Analysis
title_sort study of atlas grid performance for distributed analysis
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1742-6596/396/3/032085
http://cds.cern.ch/record/1450172
work_keys_str_mv AT panitkins astudyofatlasgridperformancefordistributedanalysis
AT faynv astudyofatlasgridperformancefordistributedanalysis
AT wenaust astudyofatlasgridperformancefordistributedanalysis
AT panitkins studyofatlasgridperformancefordistributedanalysis
AT faynv studyofatlasgridperformancefordistributedanalysis
AT wenaust studyofatlasgridperformancefordistributedanalysis

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