Benchmarking over the grid using ATLAS virtual organization

Grids include heterogeneous resources, which are based on different hardware and software architectures or components. In correspondence with this diversity of the infrastructure, the execution time of any single job, as well as the total grid performance can both be affected substantially, which ca...

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Detalles Bibliográficos
Autores principales: Kouvakis, John, Georgatos, Fotis
Lenguaje:eng
Publicado: 2007
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/1041014
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author Kouvakis, John
Georgatos, Fotis
author_facet Kouvakis, John
Georgatos, Fotis
author_sort Kouvakis, John
collection CERN
description Grids include heterogeneous resources, which are based on different hardware and software architectures or components. In correspondence with this diversity of the infrastructure, the execution time of any single job, as well as the total grid performance can both be affected substantially, which can be demonstrated by measurements. Running a simple benchmarking suite can show this heterogeneity and give us results about the differences over the grid sites.
id cern-1041014
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2007
record_format invenio
spelling cern-10410142023-03-15T19:11:09Zhttp://cds.cern.ch/record/1041014engKouvakis, JohnGeorgatos, FotisBenchmarking over the grid using ATLAS virtual organizationComputing and ComputersGrids include heterogeneous resources, which are based on different hardware and software architectures or components. In correspondence with this diversity of the infrastructure, the execution time of any single job, as well as the total grid performance can both be affected substantially, which can be demonstrated by measurements. Running a simple benchmarking suite can show this heterogeneity and give us results about the differences over the grid sites.Grids include heterogeneous resources, which are based on different hardware and software architectures or components. In correspondence with this diversity of the infrastructure, the execution time of any single job, as well as the total grid performance can both be affected substantially, which can be demonstrated by measurements. Running a simple benchmarking suite can show this heterogeneity and give us results about the differences over the grid sites.arXiv:0705.1915oai:cds.cern.ch:10410142007-06-13
spellingShingle Computing and Computers
Kouvakis, John
Georgatos, Fotis
Benchmarking over the grid using ATLAS virtual organization
title Benchmarking over the grid using ATLAS virtual organization
title_full Benchmarking over the grid using ATLAS virtual organization
title_fullStr Benchmarking over the grid using ATLAS virtual organization
title_full_unstemmed Benchmarking over the grid using ATLAS virtual organization
title_short Benchmarking over the grid using ATLAS virtual organization
title_sort benchmarking over the grid using atlas virtual organization
topic Computing and Computers
url http://cds.cern.ch/record/1041014
work_keys_str_mv AT kouvakisjohn benchmarkingoverthegridusingatlasvirtualorganization
AT georgatosfotis benchmarkingoverthegridusingatlasvirtualorganization

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