Data processing model for the CDF experiment
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 specialized physics datasets. The design of the processing control system faces 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.
Keywords
Cite
@article{arxiv.physics/0606042,
title = {Data processing model for the CDF experiment},
author = {J. Antos and M. Babik and D. Benjamin and S. Cabrera and A. W. Chan and Y. C. Chen and M. Coca and B. Cooper and S. Farrington and K. Genser and K. Hatakeyama and S. Hou and T. L. Hsieh and B. Jayatilaka and S. Y. Jun and A. V. Kotwal and A. C. Kraan and R. Lysak and I. V. Mandrichenko and P. Murat and A. Robson and P. Savard and M. Siket and B. Stelzer and J. Syu and P. K. Teng and S. C. Timm and T. Tomura and E. Vataga and S. A. Wolbers},
journal= {arXiv preprint arXiv:physics/0606042},
year = {2014}
}
Comments
12 pages, 10 figures, submitted to IEEE-TNS