DocumentCode :
924781
Title :
Parallel and distributed processing of rules by data-reduction
Author :
Wolfson, Ouri ; Ozeri, Aya
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Volume :
5
Issue :
3
fYear :
1993
fDate :
6/1/1993 12:00:00 AM
Firstpage :
523
Lastpage :
530
Abstract :
The parallel evaluation of datalog rule programs, mainly by processors that are interconnected by a communication network, is discussed. Data-reduction, a paradigm for the parallel evaluation of a datalog program, is introduced. Parallelization is accomplished by partitioning the rule-instantiations among the processors. After presenting the paradigm, its implementation with seminaive evaluation, its communication overhead, and its application to stratified-negation datalog programs are discussed. It is proven that decomposability, a related concept introduced in previous works, is undecidable
Keywords :
distributed databases; knowledge based systems; logic programming; communication network; communication overhead; data-reduction; datalog rule programs; decomposability; distributed processing of rules; parallel processing of rules; rule-instantiations; seminaive evaluation; stratified-negation datalog programs; Communication networks; Computer science; Concurrent computing; Costs; Distributed processing; Indexes; Logic programming; Parallel processing; Relational databases; Transaction databases;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.224203
Filename :
224203
Link To Document :
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