Abstract
This work explores the problems of efficient query processing in multidatabase systems. We propose the query transformation techniques to improve performance of query computations using the partial results obtained from the individual database systems participating in a multidatabase system. The main goal of optimization is to perform query computations using data available locally and data that can be quickly transferred to a central site from the individual databases. The relational database model is used as a global data model for our multidatabase system. The optimization algorithms normalize the relational algebra expressions to effectively identify the computations that can be done independently from missing data. The other optimization strategies reduce the size of available arguments and preprocess them to speed up the future computations.
This work has been done in project #504/T11/95/08 which is funded by State Committee for Scientific Research (KBN) while Janusz R. Getta was on leave from The University of Wollongong, Dept. of Comp.Sci., NSW2500, Australia
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© 1996 British Computer Society
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Chudziak, J.A., Getta, J.R. (1996). On Efficient Query Evaluation in Multidatabase Systems. In: Eder, J., Kalinichenko, L.A. (eds) Advances in Databases and Information Systems. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-1486-4_6
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DOI: https://doi.org/10.1007/978-1-4471-1486-4_6
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