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Data production models for the CDF experiment

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arxiv physics/0606039 v1 pith:EYHPDGC2 submitted 2006-06-05 physics.data-an physics.ins-det

Data production models for the CDF experiment

J. Antos , M. Babik , D. Benjamin , S. Cabrera , A.W. Chan , Y.C. Chen , M. Coca , B. Cooper
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K. Genser K. Hatakeyama S. Hou T.L. Hsieh B. Jayatilaka A.C. Kraan R. Lysak I.V. Mandrichenko A. Robson M. Siket B. Stelzer J. Syu P.K. Teng S.C. Timm T. Tomura E. Vataga S.A. Wolbers P. Yeh
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classification physics.data-an physics.ins-det
keywords dataproductionexperimentfarmcomputinglargemodelsrate
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The data production for the CDF experiment is conducted on a large Linux PC farm designed to meet the needs of data collection at a maximum rate of 40 MByte/sec. We present two data production models that exploits advances in computing and communication technology. The first production farm is a centralized system that has achieved a stable data processing rate of approximately 2 TByte per day. The recently upgraded farm is migrated to the SAM (Sequential Access to data via Metadata) data handling system. The software and hardware of the CDF production farms has been successful in providing large computing and data throughput capacity to the experiment.

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