The design of the IRISS parallel database machine

Walter, David; Kerridge, Jon

Abstract

The decision support potential of large commercial relational databases is limited by the vast amounts of computing power required to perform complex queries on large datasets. Massively parallel processing offers the potential to open up new possibilities in on-line decision support by increasing by orders of magnitude the amount of power brought to bear on the problem. The authors believe, however, that ports of conventional RDBMS code onto parallel platforms are not capable of exploiting the true potential of such hardware.

The IRISS parallel database machine is based upon a software architecture which has been designed from first principles to be optimum for distributed memory massively parallel hardware architectures. The design of the system is outlined in the poster.

Citation

Walter, D., & Kerridge, J. (1996, April). The design of the IRISS parallel database machine. Presented at High-Performance Computing and Networking: International Conference and Exhibition HPCN EUROPE 1996, Brussels, Belgium

• Presentation Conference Type: Conference Paper (published)
• Conference Name: High-Performance Computing and Networking: International Conference and Exhibition HPCN EUROPE 1996
• Start Date: Apr 15, 1996
• End Date: Apr 19, 1996
• Online Publication Date: Aug 18, 2005
• Publication Date: 1996
• Deposit Date: Jul 24, 2019
• Journal: High-Performance Computing and Networking; Lecture Notes in Computer Science
• Print ISSN: 0302-9743
• Electronic ISSN: 1611-3349
• Publisher: Springer
• Pages: 913-914
• Series Title: Lecture Notes in Computer Science
• Series Number: 1067
• Series ISSN: 0302-9743
• Book Title: High-Performance Computing and Networking: International Conference and Exhibition HPCN EUROPE 1996 Brussels, Belgium, April 15–19, 1996 Proceedings
• ISBN: 9783540611424
• DOI: https://doi.org/10.1007/3-540-61142-8_646
• Keywords: software architecture; complex query; true potential; base table; concurrent user; parallel processing
• Public URL: http://researchrepository.napier.ac.uk/Output/1992526