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CMS data and workflow management system

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 da...

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Detalles Bibliográficos
Autores principales: Fanfani, A, Bonacorsi, B, Bacchi, W, Codispoti, G, De Filippis, N, Pompili, A, My, S, Abbrescia, M, Maggi, G, Donvito, G, Silvestris, L, Calzolari, F, Sarkar, S, Spiga, D, Cinquili, M, Lacaprara, S, Biasotto, M, Farina, F, Merlo, M, Belforte, S, Kavka, C, Sala, L, Harvey, J, Hufnagel, D, Fanzago, F, Corvo, M, Magini, N, Rehn, J, Toteva, Z, Feichtinger, D, Tuura, L, Eulisse, G, Bockelman, B, Lundstedt, C, Egeland, R, Evans, D, Mason, D, Gutsche, O, Sexton-Kennedy, L, Dagenhart, D W, Afaq, A, Guo, Y, Kosyakov, S, Lueking, L, Sekhri, V, Fisk, I, McBride, P, Bauerdick, L, Bakken, J, Rossman, P, Wicklund, E, Wu, Y, Jones, C, Kuznetsov, V, Riley, D, Dolgert, A, van Lingen, F, Narsky, I, Paus, C, Klute, M, Gomez-Ceballos, G, Piedra-Gomez, J, Miller, M, Mohapatra, A, Lazaridis, C, Bradley, D, Elmer, P, Wildish, T, Wuerthwein, F, Letts, J, Bourilkov, D, Kim, B, Smith, P, Hernandez, J M, Caballero, J, Delgado, A, Flix, J, Cabrillo-Bartolome, I, Kasemann, M, Flossdorf, A, Stadie, H, Kreuzer, P, Khomitch, A, Hof, C, Zeidler, C, Kalini, S, Trunov, A, Saout, C, Felzmann, U, Metson, S, Newbold, D, Geddes, N, Brew, C, Jackson, J, Wakefield, S, De Weirdt, S, Adler, V, Maes, J, Van Mulders, P, Villella, I, Hammad, G, Pukhaeva, N, Kurca, T, Semneniouk, I, Guan, W, Lajas, J A, Teodoro, D, Gregores, E, Baquero, M, Shehzad, A, Kadastik, M, Kodolova, O, Chao, Y, Ming Kuo, C, Filippidis, C, Walzel, G, Han, D, Kalinowski, A, Giro de Almeida, N M, Panyam, N
Lenguaje:eng
Publicado: 2008
Materias:
Acceso en línea:https://dx.doi.org/10.1142/9789812819093_0076
http://cds.cern.ch/record/1707582