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Journal of Grid Computing 8 (2010) 159-179
Distributed Analysis in CMS
Alessandra Fanfani, Anzar Afaq, Jose Afonso Sanches, Julia Andreeva, Giusepppe Bagliesi, Lothar Bauerdick, Stefano Belforte, Patricia Bittencourt Sampaio, Ken Bloom, Barry Blumenfeld, Daniele Bonacorsi, Chris Brew, Marco Calloni, Daniele Cesini, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'hondt, Liang Dong, Danilo Dongiovanni, Giacinto Donvito, David Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina, Derek Feichtinger, Ian Fisk, Josep Flix, Claudio Grandi, Yuyi Guo, Kalle Happonen, José M. Hernàndez, Chih-Hao Huang, Kejing Kang, Edward Karavakis, Matthias Kasemann, Carlos Kavka, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, T. Kurca1, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia Mcbride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga, Lassi Tuura, Eric Vaandering, Lukas Vanelderen, Petra Van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein
CMS Collaboration(s)
(2010)

The CMS experiment expects to manage several Pbytes of data each year during the LHC programme, distributing them over many computing sites around the world and enabling data access at those centers for analysis. CMS has identified the distributed sites as the primary location for physics analysis to support a wide community with thousands potential users. This represents an unprecedented experimental challenge in terms of the scale of distributed computing resources and number of user. An overview of the computing architecture, the software tools and the distributed infrastructure is reported. Summaries of the experience in establishing efficient and scalable operations to get prepared for CMS distributed analysis are presented, followed by the user experience in their current analysis activities.
1 :  IPNL - Institut de Physique Nucléaire de Lyon
Informatique/Calcul parallèle, distribué et partagé

Informatique/Analyse numérique