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Mediator join indices

Published: 07 April 1997 Publication History

Abstract

A mediator join index (MJI) is proposed to speed up N-way inter-database joins by reducing the amount of data transfer during evaluation. A family of algorithms, the query scrubbing algorithms (QSA), are developed to maintain MJI and to evaluate queries using MJI. QSA algorithms use query scrubbing to cope with update and query anomalies related to materialized views in the mediator context. Compared with existing algorithms, QSA algorithms incur less overhead in handling the anomalies and makes MJI a promising technique for efficient mediator query processing.

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  • (1997)Towards efficient and scalable mediationProceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research10.5555/782010.782033Online publication date: 10-Nov-1997

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Published In

cover image Guide Proceedings
RIDE '97: Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
April 1997
ISBN:0818678496

Publisher

IEEE Computer Society

United States

Publication History

Published: 07 April 1997

Author Tags

  1. N-way inter-database joins
  2. anomaly handling overhead
  3. data transfer
  4. distributed databases
  5. efficient mediator query processing
  6. materialized views
  7. mediator join indices
  8. query anomalies
  9. query evaluation
  10. query scrubbing algorithms
  11. update anomalies

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Cited By

View all
  • (1997)Towards efficient and scalable mediationProceedings of the 1997 conference of the Centre for Advanced Studies on Collaborative research10.5555/782010.782033Online publication date: 10-Nov-1997

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