Experience in running relational databases on clustered storage

For past eight years, CERN IT Database group has based its backend storage on NAS (Network-Attached Storage) architecture, providing database access via NFS (Network File System) protocol. In last two and half years, our storage has evolved from a scale-up architecture to a scale-out one. This paper...

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Detalles Bibliográficos
Autores principales: Aparicio, Ruben Gaspar, Potocky, Miroslav
Lenguaje:eng
Publicado: 2015
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/664/4/042020
http://cds.cern.ch/record/2134563
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author Aparicio, Ruben Gaspar
Potocky, Miroslav
author_facet Aparicio, Ruben Gaspar
Potocky, Miroslav
author_sort Aparicio, Ruben Gaspar
collection CERN
description For past eight years, CERN IT Database group has based its backend storage on NAS (Network-Attached Storage) architecture, providing database access via NFS (Network File System) protocol. In last two and half years, our storage has evolved from a scale-up architecture to a scale-out one. This paper describes our setup and a set of functionalities providing key features to other services like Database on Demand [1] or CERN Oracle backup and recovery service. It also outlines possible trend of evolution that, storage for databases could follow.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling oai-inspirehep.net-14138522022-08-10T13:00:52Zdoi:10.1088/1742-6596/664/4/042020http://cds.cern.ch/record/2134563engAparicio, Ruben GasparPotocky, MiroslavExperience in running relational databases on clustered storageComputing and ComputersFor past eight years, CERN IT Database group has based its backend storage on NAS (Network-Attached Storage) architecture, providing database access via NFS (Network File System) protocol. In last two and half years, our storage has evolved from a scale-up architecture to a scale-out one. This paper describes our setup and a set of functionalities providing key features to other services like Database on Demand [1] or CERN Oracle backup and recovery service. It also outlines possible trend of evolution that, storage for databases could follow.oai:inspirehep.net:14138522015
spellingShingle Computing and Computers
Aparicio, Ruben Gaspar
Potocky, Miroslav
Experience in running relational databases on clustered storage
title Experience in running relational databases on clustered storage
title_full Experience in running relational databases on clustered storage
title_fullStr Experience in running relational databases on clustered storage
title_full_unstemmed Experience in running relational databases on clustered storage
title_short Experience in running relational databases on clustered storage
title_sort experience in running relational databases on clustered storage
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/664/4/042020
http://cds.cern.ch/record/2134563
work_keys_str_mv AT apariciorubengaspar experienceinrunningrelationaldatabasesonclusteredstorage
AT potockymiroslav experienceinrunningrelationaldatabasesonclusteredstorage

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