Speaker
Fabrizio Furano
(Conseil Europeen Recherche Nucl. (CERN))
Description
Performance, reliability and scalability in data access are key issues in the context of Grid computing and High Energy Physics (HEP) data analysis. We present the technical details and the results of a large scale validation and performance measurement achieved at the INFN Tier1, the central computing facility of the Italian National Institute for Nuclear Research (INFN). The aim of this work is the evaluation of data access activity during analysis tasks within BaBar and ALICE computing models against two of the most used data handling systems in HEP scenario: GPFS and Scalla/Xrootd.
Authors
Armando Fella
(INFN CNAF)
Fabrizio Furano
(Conseil Europeen Recherche Nucl. (CERN))
Francesco Noferini
(INFN Bologna)
Dr
Luigi Li Gioi
(INFN CNAF)
Dr
Matthias Steinke
(RUHR-UNIVERSITäT BOCHUM)
Co-authors
Alessandro Italiano
(INFN CNAF)
Andrea Chierici
(INFN CNAF)
Barbara Martelli
(INFN CNAF)
Daniele Gregori
(INFN CNAF)
Davide Salomoni
(INFN CNAF)
Dejan Vitlacil
(INFN CNAF)
Eleonora Luppi
(INFN Ferrara)
Elisabetta Ronchieri
(INFN CNAF)
Luca Dell'Agnello
(INFN CNAF)
Pier Paolo Ricci
(INFN CNAF)
Vladimir Sapunenko
(INFN CNAF)
alessandro cavalli
(INFN CNAF)
daniele andreotti
(INFN Ferrara)
