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Database computing in HEPThe 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 prototypes based on relational and object-oriented databases of CDF data samples.
Document ID
19940017902
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Day, C. T.
(California Univ. Berkeley. Lawrence Berkeley Lab, CA, United States)
Loken, S.
(California Univ. Berkeley. Lawrence Berkeley Lab, CA, United States)
Macfarlane, J. F.
(California Univ. Berkeley. Lawrence Berkeley Lab, CA, United States)
May, E.
(Argonne National Lab. Idaho Falls, ID., United States)
Lifka, D.
(Argonne National Lab. Idaho Falls, ID., United States)
Lusk, E.
(Argonne National Lab. Idaho Falls, ID., United States)
Price, L. E.
(Argonne National Lab. Idaho Falls, ID., United States)
Baden, A.
(Maryland Univ. College Park., United States)
Grossman, R.
(Chicago Univ. IL., United States)
Qin, X.
(Maryland Univ. College Park., United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1992
Subject Category
Computer Programming And Software
Report/Patent Number
NASA-CR-194791
NAS 1.26:194791
Accession Number
94N22375
Funding Number(s)
CONTRACT_GRANT: NAG2-513
CONTRACT_GRANT: DE-AC03-76SF-00098
CONTRACT_GRANT: DE-FG02-92ER-25133
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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