Federating distributed storage for clouds in ATLAS

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Input data for applications that run in cloud computing centres can be stored at distant repositories, often with multiple copies of the popular data stored at many sites. Locating and retrieving the remote data can be challenging, and we believe that federating the storage can address this problem....

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Detalles Bibliográficos
Autores principales: Berghaus, Frank, Casteels, Kevin, Di Girolamo, Alessandro, Ebert, Marcus, Furano, Fabrizio, Fernandez Galindo, Fernando, Lassnig, Mario, Leavett-brown, Colin Roy, Paterson, Michael, Serfon, Cedric, Seuster, Rolf, Sobie, Randall, Tafirout, Reda, Taylor, Ryan P.
Lenguaje:eng
Publicado: 2017
Materias:
Particle Physics - Experiment
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/1085/3/032027
http://cds.cern.ch/record/2290502
Descripción
Sumario:Input data for applications that run in cloud computing centres can be stored at distant repositories, often with multiple copies of the popular data stored at many sites. Locating and retrieving the remote data can be challenging, and we believe that federating the storage can address this problem. A federation would locate the closest copy of the data on the basis of GeoIP information. Currently we are using the dynamic data federation Dynafed, a software solution developed by CERN IT. Dynafed supports several industry standards for connection protocols like Amazon’s S3, Microsoft’s Azure, as well as WebDAV and HTTP. Dynafed functions as an abstraction layer under which protocol-dependent authentication details are hidden from the user, requiring the user to only provide an X509 certificate.

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