By Richard Hull, Bharat Kumar, Arnaud Sahuguet, Ming Xiong (auth.), Barry Eaglestone, Siobhán North, Alexandra Poulovassilis (eds.)
This booklet constitutes the refereed court cases of the nineteenth British nationwide convention on Databases, BNCOD 2002, held in Sheffield, united kingdom, in July 2002.
The 10 revised complete papers and nine posters awarded including one invited paper have been rigorously reviewed and chosen for inclusion within the quantity. The publication bargains topical sections on question processing, facts warehousing and knowledge mining, caliber and integrity, and net and allotted databases.
Read Online or Download Advances in Databases: 19th British National Conference on Databases, BNCOD 19 Sheffield, UK, July 17–19, 2002 Proceedings PDF
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Extra resources for Advances in Databases: 19th British National Conference on Databases, BNCOD 19 Sheffield, UK, July 17–19, 2002 Proceedings
In the first phase, it changes the execution order to avoid idling (which is always beneficial) following a specific procedure, and, in the second, it introduces new operations in the QP, which is risky. In query scrambling, there is a trade-off between the potential benefit of modifying the QP on the fly and the risk of increasing the total response time instead of reducing it. [6,7] deal also with the problem of unpredictable data arrival rates, and, additionally, with the problem of memory limitation in the context of data integration systems.
In Proc. 2001 ACM-SIGMOD Int. Conf. Management of Data, pages 582–592, May 2001. 8. Goodman L. and Kruskal W. Measures of associations for cross classifications. Journal of the American Statistical Association, 49:732–764, 1954. 9. Hammer M. and Zdonik S. Jr. Knowledge-based query processing. In Proc. of the Sixth Intl. Conf. on Very Large Data Bases, pages 137–147, Montreal, Canada, Oct. 1980. 10. Hsu C. and Knoblock C. Using inductive learning to generate rules for semantic query optimization.
Coordination is achieved by event-condition-action rules. Possible actions include operator reordering, operator replacement and re-optimisation of the remainder of a QP. The Tukwila system integrates adaptive techniques proposed in [15,26]. Re-optimisation is based on pipelined units of execution. At the boundaries of such units, the pipeline is broken and partial results are materialised. , when the system runs out of memory). Tukwila’s adaptive operators adjust their behaviour to data transfer rates and memory requirements.
Advances in Databases: 19th British National Conference on Databases, BNCOD 19 Sheffield, UK, July 17–19, 2002 Proceedings by Richard Hull, Bharat Kumar, Arnaud Sahuguet, Ming Xiong (auth.), Barry Eaglestone, Siobhán North, Alexandra Poulovassilis (eds.)