Database computing in HEP
- Lawrence Berkeley Lab., CA (United States)
- Argonne National Lab., IL (United States)
- Maryland Univ., College Park, MD (United States). Dept. of Physics
- 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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99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
FERMILAB COLLIDER DETECTOR
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SUPERCONDUCTING SUPER COLLIDER
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99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
FERMILAB COLLIDER DETECTOR
DATA BASE MANAGEMENT
DESIGN
PERFORMANCE
PROGRESS REPORT
SUPERCONDUCTING SUPER COLLIDER
DOCUMENT TYPES
MANAGEMENT
STORAGE RINGS
430303* - Particle Accelerators- Experimental Facilities & Equipment
990301 - Information Handling- Data Handling- (1992-)