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28th Hawaii International Conference on System Sciences (HICSS'95)
Hawaii, USA
January 04-January 07
ISBN: 0-8186-6935-7
J.A. Keane, Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
T.N. Franklin, Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
R. Dipper, Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
A.J. Grant, Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
R. Sumner, Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
M.Q. Xu, Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., UK
A database benchmark exercise on a parallel machine (a Kendall Square Research KSR1-32 virtual shared memory computer) for a large UK bank is discussed. The benchmark involved 8 queries running on a subset of the bank's database across 10 processors. All queries were of the MIS variety, and included "real" marketing queries. Some queries give speedup of over 5 times on 10 processors. As a result of the data distribution, most queries showed speedup for up to 5 processors but then no more speedup until 10 processors were used. Tests suggest that the limit to I/O throughput lies in the disk controllers. The effectiveness of query optimisation and decomposition are also discussed.
Index Terms:
bank data processing; marketing data processing; software performance evaluation; parallel machines; management information systems; distributed databases; query processing; database benchmark; financial database queries; parallel machine; UK bank; MIS; marketing queries; speedup; data distribution; I/O throughput limit; disk controllers; query optimisation; query decomposition; Kendall Square Research KSR1-32; virtual shared memory computer
Citation:
J.A. Keane, T.N. Franklin, R. Dipper, A.J. Grant, R. Sumner, M.Q. Xu, "Benchmarking financial database queries on a parallel machine," hicss, pp.402, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995
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