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Grid Site Testing for ATLAS with HammerCloud

With the exponential growth of LHC (Large Hadron Collider) data in 2012, distributed computing has become the established way to analyze collider data. The ATLAS grid infrastructure includes more than 130 sites worldwide, ranging from large national computing centers to smaller university clusters....

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Detalles Bibliográficos
Autores principales: Elmsheuser, J, Hoenig, F, Legger, F, Medrano LLamas, R, Sciacca, G, van der Ster, D
Lenguaje:eng
Publicado: 2013
Materias:
Acceso en línea:http://cds.cern.ch/record/1606785
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author Elmsheuser, J
Hoenig, F
Legger, F
Medrano LLamas, R
Sciacca, G
van der Ster, D
author_facet Elmsheuser, J
Hoenig, F
Legger, F
Medrano LLamas, R
Sciacca, G
van der Ster, D
author_sort Elmsheuser, J
collection CERN
description With the exponential growth of LHC (Large Hadron Collider) data in 2012, distributed computing has become the established way to analyze collider data. The ATLAS grid infrastructure includes more than 130 sites worldwide, ranging from large national computing centers to smaller university clusters. HammerCloud was previously introduced with the goals of enabling VO- and site-administrators to run validation tests of the site and software infrastructure in an automated or on-demand manner. The HammerCloud infrastructure has been constantly improved to support the addition of new test work-flows. These new work-flows comprise e.g. tests of the ATLAS nightly build system, ATLAS MC production system, XRootD federation FAX and new site stress test work-flows. We report on the development, optimization and results of the various components in the HammerCloud framework.
id cern-1606785
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
record_format invenio
spelling cern-16067852019-09-30T06:29:59Zhttp://cds.cern.ch/record/1606785engElmsheuser, JHoenig, FLegger, FMedrano LLamas, RSciacca, Gvan der Ster, DGrid Site Testing for ATLAS with HammerCloudDetectors and Experimental TechniquesWith the exponential growth of LHC (Large Hadron Collider) data in 2012, distributed computing has become the established way to analyze collider data. The ATLAS grid infrastructure includes more than 130 sites worldwide, ranging from large national computing centers to smaller university clusters. HammerCloud was previously introduced with the goals of enabling VO- and site-administrators to run validation tests of the site and software infrastructure in an automated or on-demand manner. The HammerCloud infrastructure has been constantly improved to support the addition of new test work-flows. These new work-flows comprise e.g. tests of the ATLAS nightly build system, ATLAS MC production system, XRootD federation FAX and new site stress test work-flows. We report on the development, optimization and results of the various components in the HammerCloud framework.ATL-SOFT-SLIDE-2013-808oai:cds.cern.ch:16067852013-10-08
spellingShingle Detectors and Experimental Techniques
Elmsheuser, J
Hoenig, F
Legger, F
Medrano LLamas, R
Sciacca, G
van der Ster, D
Grid Site Testing for ATLAS with HammerCloud
title Grid Site Testing for ATLAS with HammerCloud
title_full Grid Site Testing for ATLAS with HammerCloud
title_fullStr Grid Site Testing for ATLAS with HammerCloud
title_full_unstemmed Grid Site Testing for ATLAS with HammerCloud
title_short Grid Site Testing for ATLAS with HammerCloud
title_sort grid site testing for atlas with hammercloud
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1606785
work_keys_str_mv AT elmsheuserj gridsitetestingforatlaswithhammercloud
AT hoenigf gridsitetestingforatlaswithhammercloud
AT leggerf gridsitetestingforatlaswithhammercloud
AT medranollamasr gridsitetestingforatlaswithhammercloud
AT sciaccag gridsitetestingforatlaswithhammercloud
AT vandersterd gridsitetestingforatlaswithhammercloud