Year: 2006
Type: article
Abstract: The data processing model for the CDF experiment is described. Data processing reconstructs events from parallel data streams taken with different combinations of physics event triggers and further splits the events into datasets of specialised physics interests. The design of the processing control system makes strict requirements on bookkeeping records, which trace the status of data files and event contents during processing and storage. The computing architecture was updated to meet the mass data flow of the Run II data collection, recently upgraded to a maximum rate of 40 MByte/sec. The data processing facility consists of a large cluster of Linux computers with data movement managed by the CDF data handling system to a multi-petaByte Enstore tape library. The latest processing cycle has achieved a stable speed of 35 MByte/sec (3 TByte/day). It can be readily scaled by increasing CPU and data-handling capacity as required
Authors: J. Antos, M. Babik, D. Benjamin, S. Cabrera, A.W. Chan, Y.C. Chen, M. Coca, B. Cooper, S. Farrington, K. Genser, K. Hatakeyama, S. Hou, T.L. Hsieh, B. Jayatilaka, S.Y. Jun, A.V. Kotwal, A.C. Kraan, R. Lysak, I.V. Mandrichenko, P. Murat, A. Robson, P. Savard, M. Siket, B. Stelzer, J. Syu, P.K. Teng, S.C. Timm, T. Tomura, E. Vataga, S.A. Wolbers
Institutions: Slovak Academy of Sciences, Institute of Experimental Physics of the Slovak Academy of Sciences, Duke University, Consejo Superior de Investigaciones Científicas, Universitat de València, Institute of Physics, Academia Sinica, University College London, University of Liverpool, Fermi National Accelerator Laboratory, Rockefeller University, University of Michigan, Carnegie Mellon University, University of Pennsylvania, University of Glasgow, University of Toronto, University of California, Los Angeles, University of Tsukuba, University of New Mexico
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2150195874