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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....
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2013
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1606785 |
_version_ | 1780931692645580800 |
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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 |