|
| This Article | ||
| | ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
| | ||
| Search | ||
| ||
28th Hawaii International Conference on System Sciences (HICSS'95)
Hawaii, USA
January 04-January 07
ISBN: 0-8186-6935-7
| ASCII Text | x | ||
| J.A. Keane, T.N. Franklin, R. Dipper, A.J. Grant, R. Sumner, M.Q. Xu, "Benchmarking financial database queries on a parallel machine," 2013 46th Hawaii International Conference on System Sciences, pp. 402, 28th Hawaii International Conference on System Sciences (HICSS'95), 1995. | |||
| BibTex | x | ||
| @article{ 10.1109/HICSS.1995.375518, author = {J.A. Keane and T.N. Franklin and R. Dipper and A.J. Grant and R. Sumner and M.Q. Xu}, title = {Benchmarking financial database queries on a parallel machine}, journal ={2013 46th Hawaii International Conference on System Sciences}, volume = {0}, year = {1995}, issn = {1060-3425}, pages = {402}, doi = {http://doi.ieeecomputersociety.org/10.1109/HICSS.1995.375518}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2013 46th Hawaii International Conference on System Sciences TI - Benchmarking financial database queries on a parallel machine SN - 1060-3425 SP EP A1 - J.A. Keane, A1 - T.N. Franklin, A1 - R. Dipper, A1 - A.J. Grant, A1 - R. Sumner, A1 - M.Q. Xu, PY - 1995 KW - 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 VL - 0 JA - 2013 46th Hawaii International Conference on System Sciences ER - | |||
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
Usage of this product signifies your acceptance of the Terms of Use.
