Database computing in HEP

Technical Report · Wed Jan 01 00:00:00 EST 1992

DOI:https://doi.org/10.2172/6578125· OSTI ID:6578125

Day, C T; Loken, S; MacFarlane, J F ^[1]; May, E; Lifka, D; Lusk, E; Price, L E ^[2]; Baden, A ^[3]; Grossman, R; Qin, X ^[4]; Cormell, L; Leibold, P; Liu, D

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1. Lawrence Berkeley Lab., CA (United States)
2. Argonne National Lab., IL (United States)
3. Maryland Univ., College Park, MD (United States). Dept. of Physics
4. Illinois Univ., Chicago, IL (United States). Dept. of Mathematics, Statistics and Computer Science

The major SSC experiments are expected to produce up to 1 Petabyte of data per year each. Once the primary reconstruction is completed by farms of inexpensive processors. I/O becomes a major factor in further analysis of the data. We believe that the application of database techniques can significantly reduce the I/O performed in these analyses. We present examples of such I/O reductions in prototype based on relational and object-oriented databases of CDF data samples.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE; USDOE, Washington, DC (United States)
• DOE Contract Number: W-31109-ENG-38
• OSTI ID: 6578125
• Report Number(s): ANL-HEP-TR-92-129; ON: DE93011765
• Country of Publication: United States
• Language: English

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