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