Distributed Analysis in CMS

• Published in: Journal of grid computing Vol. 8; no. 2; pp. 159 - 179
• Main Authors: Fanfani, Alessandra, Afaq, Anzar, Sanches, Jose Afonso, 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, Hernàndez, José M., Huang, Chih-Hao, Kang, Kejing, Karavakis, Edward, Kasemann, Matthias, Kavka, Carlos, Khan, Akram, Kim, Bockjoo, Klem, Jukka, Koivumäki, Jesper, Kress, Thomas, Kreuzer, Peter, Kurca, Tibor, 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
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.06.2010; Springer Nature B.V; Springer Verlag
• Subjects: Architecture (computers); Communities; Computation; Computational grids; Computer networks; Computer programs; Computer Science; Distributed processing; Distributed, Parallel, and Cluster Computing; Distributing; Infrastructure; Management of Computing and Information Systems; Numerical Analysis; Processor Architectures; Software; Software development tools; User Interfaces and Human Computer Interaction; CMS; Distributed analysis; LHC; Grid
• ISSN: 1570-7873; 1572-9184
• DOI: 10.1007/s10723-010-9152-1

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.