A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system

The challenge of providing a resilient and scalable computational and data management solution for massive scale research environments requires continuous exploration of new technologies and techniques. In this project the aim has been to design a scalable and resilient infrastructure for CERN HEP d...

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Detalles Bibliográficos
Autores principales: Toor, Salman, Osmani, Lirim, Eerola, Paula, Kraemer, O, Linden, Tomas, Tarkoma, Sasu, White, John
Lenguaje:eng
Publicado: 2014
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/513/6/062047
http://cds.cern.ch/record/2110685
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author Toor, Salman
Osmani, Lirim
Eerola, Paula
Kraemer, O
Linden, Tomas
Tarkoma, Sasu
White, John
author_facet Toor, Salman
Osmani, Lirim
Eerola, Paula
Kraemer, O
Linden, Tomas
Tarkoma, Sasu
White, John
author_sort Toor, Salman
collection CERN
description The challenge of providing a resilient and scalable computational and data management solution for massive scale research environments requires continuous exploration of new technologies and techniques. In this project the aim has been to design a scalable and resilient infrastructure for CERN HEP data analysis. The infrastructure is based on OpenStack components for structuring a private Cloud with the Gluster File System. We integrate the state-of-the-art Cloud technologies with the traditional Grid middleware infrastructure. Our test results show that the adopted approach provides a scalable and resilient solution for managing resources without compromising on performance and high availability.
id oai-inspirehep.net-1302205
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
record_format invenio
spelling oai-inspirehep.net-13022052022-08-17T13:32:41Zdoi:10.1088/1742-6596/513/6/062047http://cds.cern.ch/record/2110685engToor, SalmanOsmani, LirimEerola, PaulaKraemer, OLinden, TomasTarkoma, SasuWhite, JohnA scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file systemComputing and ComputersThe challenge of providing a resilient and scalable computational and data management solution for massive scale research environments requires continuous exploration of new technologies and techniques. In this project the aim has been to design a scalable and resilient infrastructure for CERN HEP data analysis. The infrastructure is based on OpenStack components for structuring a private Cloud with the Gluster File System. We integrate the state-of-the-art Cloud technologies with the traditional Grid middleware infrastructure. Our test results show that the adopted approach provides a scalable and resilient solution for managing resources without compromising on performance and high availability.oai:inspirehep.net:13022052014
spellingShingle Computing and Computers
Toor, Salman
Osmani, Lirim
Eerola, Paula
Kraemer, O
Linden, Tomas
Tarkoma, Sasu
White, John
A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system
title A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system
title_full A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system
title_fullStr A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system
title_full_unstemmed A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system
title_short A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system
title_sort scalable infrastructure for cms data analysis based on openstack cloud and gluster file system
topic Computing and Computers
url https://dx.doi.org/10.1088/1742-6596/513/6/062047
http://cds.cern.ch/record/2110685
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