DocumentCode
2495180
Title
Scalable parallel query server for decision support applications
Author
Chung, Jen-Yao
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
fYear
1995
fDate
6-10 Mar 1995
Firstpage
186
Lastpage
187
Abstract
Decision-support applications require the ability to query against large amounts of detailed historical data. We are exploiting parallel technology to improve query response time through query decomposition, CPU and I/O parallelism, and client/server approach. IBM System/390 Parallel Query Server is built on advanced and low-cost CMOS microprocessors for decision-support applications. We discuss our design, implementation and performance of a scalable parallel query server
Keywords
database machines; decision support systems; parallel machines; query processing; relational databases; IBM System/390 Parallel Query Server; client/server approach; decision support applications; detailed historical data; query decomposition; query response time; scalable parallel query server; CMOS technology; Corporate acquisitions; Data mining; Database systems; Delay; Guidelines; Marketing and sales; Microprocessors; Promotion - marketing; Query processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering, 1995. Proceedings of the Eleventh International Conference on
Conference_Location
Taipei
Print_ISBN
0-8186-6910-1
Type
conf
DOI
10.1109/ICDE.1995.380393
Filename
380393
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