PD2P : PanDA Dynamic Data Placement for ATLAS

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The PanDA (Production and Distributed Analysis) system plays a key role in the ATLAS distributed computing infrastructure. PanDA is the ATLAS workload management system for processing all Monte-Carlo (MC) simulation and data reprocessing jobs in addition to user and group analysis jobs. The PanDA Dy...

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Detalles Bibliográficos
Autores principales: Maeno, T, De, K, Panitkin, S
Lenguaje:eng
Publicado: 2012
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/396/3/032070
http://cds.cern.ch/record/1447077
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author Maeno, T
De, K
Panitkin, S
author_facet Maeno, T
De, K
Panitkin, S
author_sort Maeno, T
collection CERN
description The PanDA (Production and Distributed Analysis) system plays a key role in the ATLAS distributed computing infrastructure. PanDA is the ATLAS workload management system for processing all Monte-Carlo (MC) simulation and data reprocessing jobs in addition to user and group analysis jobs. The PanDA Dynamic Data Placement (PD2P) system has been developed to cope with difficulties of data placement for ATLAS. We will describe the design of the new system, its performance during the past year of data taking, dramatic improvements it has brought about in the efficient use of storage and processing resources, associated reductions in average wait time for user analysis jobs, and plans for the future.
id cern-1447077
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
record_format invenio
spelling cern-14470772019-09-30T06:29:59Zdoi:10.1088/1742-6596/396/3/032070http://cds.cern.ch/record/1447077engMaeno, TDe, KPanitkin, SPD2P : PanDA Dynamic Data Placement for ATLASDetectors and Experimental TechniquesThe PanDA (Production and Distributed Analysis) system plays a key role in the ATLAS distributed computing infrastructure. PanDA is the ATLAS workload management system for processing all Monte-Carlo (MC) simulation and data reprocessing jobs in addition to user and group analysis jobs. The PanDA Dynamic Data Placement (PD2P) system has been developed to cope with difficulties of data placement for ATLAS. We will describe the design of the new system, its performance during the past year of data taking, dramatic improvements it has brought about in the efficient use of storage and processing resources, associated reductions in average wait time for user analysis jobs, and plans for the future.ATL-SOFT-PROC-2012-016oai:cds.cern.ch:14470772012-05-09
spellingShingle Detectors and Experimental Techniques
Maeno, T
De, K
Panitkin, S
PD2P : PanDA Dynamic Data Placement for ATLAS
title PD2P : PanDA Dynamic Data Placement for ATLAS
title_full PD2P : PanDA Dynamic Data Placement for ATLAS
title_fullStr PD2P : PanDA Dynamic Data Placement for ATLAS
title_full_unstemmed PD2P : PanDA Dynamic Data Placement for ATLAS
title_short PD2P : PanDA Dynamic Data Placement for ATLAS
title_sort pd2p : panda dynamic data placement for atlas
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1742-6596/396/3/032070
http://cds.cern.ch/record/1447077
work_keys_str_mv AT maenot pd2ppandadynamicdataplacementforatlas
AT dek pd2ppandadynamicdataplacementforatlas
AT panitkins pd2ppandadynamicdataplacementforatlas

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