Handling very large databases with informix extended parallel server

Authors:
Andreas Weininger
Affiliations:
InFomix Software
Venue:
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Year:
2000

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Implementing an affordable high-performance computing for teaching-oriented computer science curriculum

ACM Transactions on Computing Education (TOCE)

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Abstract

In this paper, we investigate which problems exist in very large real databases and describe which mechanisms are provided by Informix Extended Parallel Server (XPS) for dealing with these problems. Currently the largest customer XPS database contains 27 TB of data. A database server that has to handle such an amount of data has to provide mechanisms which allow achieving adequate performance and easing the usability. We will present mechanisms which address both of these issues and illustrate them with examples from real customer systems.