DocumentCode :
1502843
Title :
On the multiple-query optimization problem
Author :
Sellis, Timos ; Ghosh, Subrata
Author_Institution :
Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
Volume :
2
Issue :
2
fYear :
1990
fDate :
6/1/1990 12:00:00 AM
Firstpage :
262
Lastpage :
266
Abstract :
The complexity of the multiple-query optimization problem in database management systems is examined. It is shown that the problem is NP-hard. Then the authors examine the performance of a heuristic algorithm to solve the multiple-query optimization problem and suggest some heuristics for query ordering which improve the efficiency of the algorithm considerably. Some experimental results on the performance of various heuristics are also presented
Keywords :
computability; computational complexity; database management systems; database theory; heuristic programming; 3SAT; NP-hard; algorithm complexity; database management systems; deductive databases; efficiency; heuristic algorithm; multiple-query optimization; query ordering; Costs; Database systems; Deductive databases; Heuristic algorithms; Inference algorithms; Merging; NP-hard problem; Proposals; Query processing; Relational databases;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.54724
Filename :
54724
Link To Document :
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