Advanced search
1 file | 1.11 MB Add to list
Author
Organization
Abstract
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.
Keywords
CMS, LHC, Distributed analysis, Grid, DESIGN

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.11 MB

Citation

Please use this url to cite or link to this publication:

MLA
Fanfani, A, A Afaq, JA Sanches, et al. “Distributed Analysis in CMS.” JOURNAL OF GRID COMPUTING 8.2 (2010): 159–179. Print.
APA
Fanfani, A., Afaq, A., Sanches, J., Andreeva, J., Bagliesi, G., Bauerdick, L., Belforte, S., et al. (2010). Distributed analysis in CMS. JOURNAL OF GRID COMPUTING, 8(2), 159–179.
Chicago author-date
Fanfani, A, A Afaq, JA Sanches, J Andreeva, G Bagliesi, L Bauerdick, S Belforte, et al. 2010. “Distributed Analysis in CMS.” Journal of Grid Computing 8 (2): 159–179.
Chicago author-date (all authors)
Fanfani, A, A Afaq, JA Sanches, J Andreeva, G Bagliesi, L Bauerdick, S Belforte, PB Sampaio, K Bloom, B Blumenfeld, D Bonacorsi, C Brew, M Calloni, D Cesini, M Cinquilli, G Codispoti, J D’Hondt, L Dong, D Dongiovanni, G Donvito, D Dykstra, E Edelmann, R Egeland, P Elmer, G Eulisse, D Evans, F Fanzago, F Farina, D Feichtinger, I Fisk, J Flix, C Grandi, YY Guo, K Happonen, JM Hernandez, CH Huang, KJ Kang, E Karavakis, M Kasemann, C Kavka, A Khan, B Kim, J Klem, J Koivumaki, T Kress, P Kreuzer, T Kurca, V Kuznetsov, S Lacaprara, K Lassila-Perini, J Letts, T Linden, L Lueking, J Maes, N Magini, G Maier, P Mcbride, S Metson, V Miccio, S Padhi, HF Pi, H Riahi, D Riley, P Rossman, P Saiz, A Sartirana, A Sciaba, V Sekhri, D Spiga, L Tuura, E Vaandering, Lukas Vanelderen, P Van Mulders, A Vedaee, I Villella, E Wicklund, T Wildish, C Wissing, and F Wurthwein. 2010. “Distributed Analysis in CMS.” Journal of Grid Computing 8 (2): 159–179.
Vancouver
1.
Fanfani A, Afaq A, Sanches J, Andreeva J, Bagliesi G, Bauerdick L, et al. Distributed analysis in CMS. JOURNAL OF GRID COMPUTING. 2010;8(2):159–79.
IEEE
[1]
A. Fanfani et al., “Distributed analysis in CMS,” JOURNAL OF GRID COMPUTING, vol. 8, no. 2, pp. 159–179, 2010.
@article{1324457,
  abstract     = {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.},
  author       = {Fanfani, A and Afaq, A and Sanches, JA and Andreeva, J and Bagliesi, G and Bauerdick, L and Belforte, S and Sampaio, PB and Bloom, K and Blumenfeld, B and Bonacorsi, D and Brew, C and Calloni, M and Cesini, D and Cinquilli, M and Codispoti, G and D'Hondt, J and Dong, L and Dongiovanni, D and Donvito, G and Dykstra, D and Edelmann, E and Egeland, R and Elmer, P and Eulisse, G and Evans, D and Fanzago, F and Farina, F and Feichtinger, D and Fisk, I and Flix, J and Grandi, C and Guo, YY and Happonen, K and Hernandez, JM and Huang, CH and Kang, KJ and Karavakis, E and Kasemann, M and Kavka, C and Khan, A and Kim, B and Klem, J and Koivumaki, J and Kress, T and Kreuzer, P and Kurca, T and Kuznetsov, V and Lacaprara, S and Lassila-Perini, K and Letts, J and Linden, T and Lueking, L and Maes, J and Magini, N and Maier, G and Mcbride, P and Metson, S and Miccio, V and Padhi, S and Pi, HF and Riahi, H and Riley, D and Rossman, P and Saiz, P and Sartirana, A and Sciaba, A and Sekhri, V and Spiga, D and Tuura, L and Vaandering, E and Vanelderen, Lukas and Van Mulders, P and Vedaee, A and Villella, I and Wicklund, E and Wildish, T and Wissing, C and Wurthwein, F},
  issn         = {1570-7873},
  journal      = {JOURNAL OF GRID COMPUTING},
  keywords     = {CMS,LHC,Distributed analysis,Grid,DESIGN},
  language     = {eng},
  number       = {2},
  pages        = {159--179},
  title        = {Distributed analysis in CMS},
  url          = {http://dx.doi.org/10.1007/s10723-010-9152-1},
  volume       = {8},
  year         = {2010},
}

Altmetric
View in Altmetric
Web of Science
Times cited: