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Dynamic Rematerialization: Processing Distributed Queries Using Redundant Data
May 1983 (vol. 9 no. 3)
pp. 228-232
E. Wong, Department of Electrical Engineering and Computer Sciences and the Electronics Research Laboratory, University of California
In this paper an approach to processing distributed queries that makes explicit use of redundant data is proposed. The basic idea is to focus on the dynamics of materialization, defined as the collection of data and partial results available for processing at any given time, as query processing proceeds. In this framework the role of data redudancy in maximizing parallelism and minimizing data movement is clarified. What results is not only the discovery of new algorithms but an improved framework for their evaluation.
Index Terms:
query processing, Distributed databases, distributed query processing
Citation:
E. Wong, "Dynamic Rematerialization: Processing Distributed Queries Using Redundant Data," IEEE Transactions on Software Engineering, vol. 9, no. 3, pp. 228-232, May 1983, doi:10.1109/TSE.1983.236731
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