학술논문
A Comparison of Data-Access Platforms for the Computing of Large Hadron Collider Experiments
Document Type
Periodical
Author
Bencivenni, M.; Bonifazi, F.; Carbone, A.; Chierici, A.; D'Apice, A.; De Girolamo, D.; dell'Agnello, L.; Donatelli, M.; Donvito, G.; Fella, A.; Furano, F.; Galli, D.; Ghiselli, A.; Italiano, A.; Lo Re, G.; Marconi, U.; Martelli, B.; Mazzucato, M.; Onofri, M.; Ricci, P. P.; Rosso, F.; Salomoni, D.; Sapunenko, V.; Vagnoni, V.; Veraldi, R.; Vistoli, M. C.; Vitlacil, D.; Zani, S.
Source
IEEE Transactions on Nuclear Science IEEE Trans. Nucl. Sci. Nuclear Science, IEEE Transactions on. 55(3):1621-1630 Jun, 2008
Subject
Language
ISSN
0018-9499
1558-1578
1558-1578
Abstract
Performance, reliability and scalability in data-access are key issues in the context of the computing Grid and High Energy Physics data processing and analysis applications, in particular considering the large data size and I/O load that a Large Hadron Collider data centre has to support. In this paper we present the technical details and the results of a large scale validation and performance measurement employing different data-access platforms—namely CASTOR, dCache, GPFS and Scalla/Xrootd. The tests have been performed at the CNAF Tier-1, the central computing facility of the Italian National Institute for Nuclear Research (INFN). Our storage back-end was based on Fibre Channel disk-servers organized in a Storage Area Network, being the disk-servers connected to the computing farm via Gigabit LAN. We used 24 disk-servers, 260 TB of raw-disk space and 280 worker nodes as computing clients, able to run concurrently up to about 1100 jobs. The aim of the test was to perform sequential and random read/write accesses to the data, as well as more realistic access patterns, in order to evaluate efficiency, availability, robustness and performance of the various data-access solutions.