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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:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/513/6/062047
http://cds.cern.ch/record/2110685
Descripción
Sumario: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.