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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pramanik, S. Vineyard, D. |
| Copyright Year | 1976 |
| Abstract | A reduced cover set of the set of full reducer semijoin programs for an acyclic query graph for a distributed database system is given. An algorithm is presented that determines the minimum cost full reducer program. The computational complexity of finding the optimal full reducer for a single relation is of the same order as that of finding the optimal full reducer for all relations. The optimization algorithm is able to handle query graphs where more than one attribute is common between the relations. A method for determining the optimum profitable semijoin program is presented. A low-cost algorithm which determines a near-optimal profitable semijoin program is outlined. This is done by converting a semijoin program into a partial order graph. This graph also allows one to maximize the concurrent processing of the semijoins. It is shown that the minimum response time is given by the largest cost path of the partial order graph. This reducibility is used as a post optimizer for the SSD-1 query optimization algorithm. It is shown that the least upper bound on the length of any profitable semijoin program is N(N-1) for a query graph of N nodes.< |
| Sponsorship | IEEE Computer Society Technical Council on Software Engineering Association for Computing Machinery (ACM) IEEE Computer Society |
| Starting Page | 1319 |
| Ending Page | 1326 |
| Page Count | 8 |
| File Size | 856052 |
| File Format | |
| ISSN | 00985589 |
| Volume Number | 14 |
| Issue Number | 9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1988-09-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Distributed databases Cost function Query processing Data communication Database systems Computational complexity Delay Computer science Upper bound Greedy algorithms |
| Content Type | Text |
| Resource Type | Article |
| Subject | Software |
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