PanDA: Next Generation Workload Management and Analysis System for Big Data

In real world any big science project implies to use a sophisticated Workload Management System (WMS) that deals with a huge amount of highly distributed data, which is often accessed by large collaborations. The Production and Distributed Analysis System (PanDA) is a high-performance WMS that is ai...

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Detalles Bibliográficos
Autores principales: De, K, Klimentov, A, Panitkin, S, Titov, M, Vaniachine, A, Wenaus, T, Yu, D, Záruba, G
Lenguaje:eng
Publicado: 2012
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/1493596
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author De, K
Klimentov, A
Panitkin, S
Titov, M
Vaniachine, A
Wenaus, T
Yu, D
Záruba, G
author_facet De, K
Klimentov, A
Panitkin, S
Titov, M
Vaniachine, A
Wenaus, T
Yu, D
Záruba, G
author_sort De, K
collection CERN
description In real world any big science project implies to use a sophisticated Workload Management System (WMS) that deals with a huge amount of highly distributed data, which is often accessed by large collaborations. The Production and Distributed Analysis System (PanDA) is a high-performance WMS that is aimed to meet production and analysis requirements for a data-driven workload management system capable of operating at The Large Hadron Collider (LHC) data processing scale.
id cern-1493596
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2012
record_format invenio
spelling cern-14935962019-09-30T06:29:59Zhttp://cds.cern.ch/record/1493596engDe, KKlimentov, APanitkin, STitov, MVaniachine, AWenaus, TYu, DZáruba, GPanDA: Next Generation Workload Management and Analysis System for Big DataDetectors and Experimental TechniquesIn real world any big science project implies to use a sophisticated Workload Management System (WMS) that deals with a huge amount of highly distributed data, which is often accessed by large collaborations. The Production and Distributed Analysis System (PanDA) is a high-performance WMS that is aimed to meet production and analysis requirements for a data-driven workload management system capable of operating at The Large Hadron Collider (LHC) data processing scale.ATL-SOFT-SLIDE-2012-702oai:cds.cern.ch:14935962012-11-14
spellingShingle Detectors and Experimental Techniques
De, K
Klimentov, A
Panitkin, S
Titov, M
Vaniachine, A
Wenaus, T
Yu, D
Záruba, G
PanDA: Next Generation Workload Management and Analysis System for Big Data
title PanDA: Next Generation Workload Management and Analysis System for Big Data
title_full PanDA: Next Generation Workload Management and Analysis System for Big Data
title_fullStr PanDA: Next Generation Workload Management and Analysis System for Big Data
title_full_unstemmed PanDA: Next Generation Workload Management and Analysis System for Big Data
title_short PanDA: Next Generation Workload Management and Analysis System for Big Data
title_sort panda: next generation workload management and analysis system for big data
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1493596
work_keys_str_mv AT dek pandanextgenerationworkloadmanagementandanalysissystemforbigdata
AT klimentova pandanextgenerationworkloadmanagementandanalysissystemforbigdata
AT panitkins pandanextgenerationworkloadmanagementandanalysissystemforbigdata
AT titovm pandanextgenerationworkloadmanagementandanalysissystemforbigdata
AT vaniachinea pandanextgenerationworkloadmanagementandanalysissystemforbigdata
AT wenaust pandanextgenerationworkloadmanagementandanalysissystemforbigdata
AT yud pandanextgenerationworkloadmanagementandanalysissystemforbigdata
AT zarubag pandanextgenerationworkloadmanagementandanalysissystemforbigdata

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