CERN Accelerating science

Article
Title CMS data and workflow management system
Author(s) Fanfani, A (Bologna U. ; INFN, Bologna) ; Bonacorsi, B (Bologna U. ; INFN, Bologna) ; Bacchi, W (Bologna U. ; INFN, Bologna) ; Codispoti, G (Bologna U. ; INFN, Bologna) ; De Filippis, N (INFN, Bari) ; Pompili, A (INFN, Bari) ; My, S (INFN, Bari) ; Abbrescia, M (INFN, Bari) ; Maggi, G (INFN, Bari) ; Donvito, G (INFN, Bari) ; Silvestris, L (INFN, Bari) ; Calzolari, F (INFN, Pisa) ; Sarkar, S (INFN, Pisa) ; Spiga, D (INFN, Perugia) ; Cinquili, M (INFN, Perugia) ; Lacaprara, S (INFN, Legnaro) ; Biasotto, M (INFN, Legnaro) ; Farina, F (INFN, Milan Bicocca) ; Merlo, M (INFN, Milan Bicocca) ; Belforte, S (INFN, Trieste) ; Kavka, C (INFN, Trieste) ; Sala, L (INFN, Rome) ; Harvey, J (CERN) ; Hufnagel, D (CERN) ; Fanzago, F (CERN) ; Corvo, M (CERN) ; Magini, N (CERN) ; Rehn, J (CERN) ; Toteva, Z (CERN) ; Feichtinger, D (PSI, Villigen) ; Tuura, L (Northeastern Hill U., Shillong) ; Eulisse, G (Northeastern Hill U., Shillong) ; Bockelman, B (Nebraska U.) ; Lundstedt, C (Nebraska U.) ; Egeland, R (Minnesota U.) ; Evans, D (Fermilab) ; Mason, D (Fermilab) ; Gutsche, O (Fermilab) ; Sexton-Kennedy, L (Fermilab) ; Dagenhart, D W (Fermilab) ; Afaq, A (Fermilab) ; Guo, Y (Fermilab) ; Kosyakov, S (Fermilab) ; Lueking, L (Fermilab) ; Sekhri, V (Fermilab) ; Fisk, I (Fermilab) ; McBride, P (Fermilab) ; Bauerdick, L (Fermilab) ; Bakken, J (Fermilab) ; Rossman, P (Fermilab) ; Wicklund, E (Fermilab) ; Wu, Y (Fermilab) ; Jones, C (Cornell U., Phys. Dept.) ; Kuznetsov, V (Cornell U., Phys. Dept.) ; Riley, D (Cornell U., Phys. Dept.) ; Dolgert, A (Cornell U., Phys. Dept.) ; van Lingen, F (Caltech) ; Narsky, I (Caltech) ; Paus, C (MIT) ; Klute, M (MIT) ; Gomez-Ceballos, G (MIT) ; Piedra-Gomez, J (MIT) ; Miller, M (MIT) ; Mohapatra, A (Wisconsin U., Madison) ; Lazaridis, C (Wisconsin U., Madison) ; Bradley, D (Wisconsin U., Madison) ; Elmer, P (Princeton U.) ; Wildish, T (Princeton U.) ; Wuerthwein, F (UC, San Diego) ; Letts, J (UC, San Diego) ; Bourilkov, D (Florida U.) ; Kim, B (Florida U.) ; Smith, P (Purdue U.) ; Hernandez, J M (Madrid, CIEMAT) ; Caballero, J (Madrid, CIEMAT) ; Delgado, A (Madrid, CIEMAT) ; Flix, J (PIC, Bellaterra) ; Cabrillo-Bartolome, I (Cantabria Inst. of Phys.) ; Kasemann, M (DESY) ; Flossdorf, A (DESY) ; Stadie, H (DESY) ; Kreuzer, P (Aachen, Tech. Hochsch.) ; Khomitch, A (Aachen, Tech. Hochsch.) ; Hof, C (Aachen, Tech. Hochsch.) ; Zeidler, C (Aachen, Tech. Hochsch.) ; Kalini, S (Aachen, Tech. Hochsch.) ; Trunov, A (Karlsruhe, Forschungszentrum) ; Saout, C (Karlsruhe, Forschungszentrum) ; Felzmann, U (Karlsruhe, Forschungszentrum) ; Metson, S (West England U.) ; Newbold, D (West England U.) ; Geddes, N (Diamond Light Source) ; Brew, C (Diamond Light Source) ; Jackson, J (Diamond Light Source) ; Wakefield, S (Imperial Coll., London) ; De Weirdt, S (Brussels U., IIHE) ; Adler, V (Brussels U., IIHE) ; Maes, J (Brussels U., IIHE) ; Van Mulders, P (Brussels U., IIHE) ; Villella, I (Brussels U., IIHE) ; Hammad, G (Brussels U.) ; Pukhaeva, N (Lyon, IPN) ; Kurca, T (Lyon, IPN) ; Semneniouk, I (Paris Observ.) ; Guan, W (Beijing, Inst. High Energy Phys.) ; Lajas, J A (Rio de Janeiro State U.) ; Teodoro, D (Rio de Janeiro State U.) ; Gregores, E (SPRACE) ; Baquero, M (Los Andes U.) ; Shehzad, A (Quaid-i-Azam U.) ; Kadastik, M (NICPB, Tallinn) ; Kodolova, O (Moscow State U.) ; Chao, Y (Taipei, Computing Ctr.) ; Ming Kuo, C (Taipei, Computing Ctr.) ; Filippidis, C (Democritos Nucl. Res. Ctr.) ; Walzel, G (Vienna, OAW) ; Han, D (Kyungpook Natl. U.) ; Kalinowski, A (Warsaw U.) ; Giro de Almeida, N M (LIP, Coimbra) ; Panyam, N (Tata Inst.)
Publication 2008
In: 10th ICATPP Conference on Astroparticle, Particle, Space Physics, Detectors and Medical Physics Applications, Villa Olmo, Como, Italy, 8 - 12 Oct 2007, pp.441-445
DOI 10.1142/9789812819093_0076
Subject category Computing and Computers
Accelerator/Facility, Experiment CERN LHC ; CMS
Abstract CMS expects to manage many tens of peta bytes of data to be distributed over several computing centers around the world. The CMS distributed computing and analysis model is designed to serve, process and archive the large number of events that will be generated when the CMS detector starts taking data. The underlying concepts and the overall architecture of the CMS data and workflow management system will be presented. In addition the experience in using the system for MC production, initial detector commissioning activities and data analysis will be summarized.

Corresponding record in: Inspire
 Δημιουργία εγγραφής 2014-06-06, τελευταία τροποποίηση 2017-07-31