Towards efficient and scalable mediation: the AURORA approach

Authors:
Ling Ling Yan
Affiliations:
Laboratory for Database Systems Research, Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada T6G 2H1
Venue:
CASCON '97 Proceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research
Year:
1997

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Abstract

We develop a 2-tier, plug-and-play mediation model for accessing a large number of heterogeneous data sources. This model defines a divide-and-conquer approach towards information integration. It is more suitable for applications such as electronic commerce than existing models. We also develop algebras that manipulate heterogeneous data, the mediation enabling algebras, that provide new techniques for efficient query processing in large-scale middleware. This paper presents the mediation model, architecture and techniques studied in the AURORA project.