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Vertical fragmentation and allocation in distributed deductive database systems
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DOI：10.1016/S0306-4379(97)00001-X.png)
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Although approaches for Vertical fragmentation and data allocation have been proposed, algorithms for vertical fragmentation and allocation of data and rules in distributed deductive database systems (DDDBSs) are lacking. In this paper, we present different approaches for vertical fragmentation of relations that are referenced by rules and an allocation strategy for rules and fragments in a DDDBS. The potential advantages of the proposed fragmentation and allocation scheme include maximal locality of query evaluation and minimization of communication cost in a distributed system, in addition to the desirable properties of (vertical) fragmentation and rule allocation as discussed in the literature. We also formulate the mathematical interpretation of the proposed vertical fragmentation and allocation algorithms. (C) 1997 Elsevier Science Ltd.
Keyword:
fragmentation
allocation
replication
rules
deductive databases
distributed systems
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