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Efficient and Robust Node-Partitioned Data Warehouses 22
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of Idea Group Inc. is prohibited.
Yu, C. T., & Meng, W. (1998). Principles of database query processing for advanced
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2 0 R?¶hm
Copyright ?© 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of
Idea Group Inc. is prohibited.
Chapter.X
OLAP.with.a.
Database Cluster
Uwe R?¶hm
University of Sydney, Australia
Abstract
This chapter presents a new approach to online decision support systems that is
scalable, fast, and capable of analysing up-to-date data. It is based on a database
cluster: a cluster of commercial off-the-shelf computers as hardware infrastructure
and off-the-shelf database management systems as transactional storage managers.
We focus on central architectural issues and on the performance implications of
such a cluster-based decision support system. In the first half, we present a scalable
infrastructure and discuss physical data design alternatives for cluster-based
online decision support systems.
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