Title :
Scalable parallel query server for decision support applications
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
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;
Conference_Titel :
Data Engineering, 1995. Proceedings of the Eleventh International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-8186-6910-1
DOI :
10.1109/ICDE.1995.380393
