Title :
An algorithm for resolving the join component selection problem in parallel join optimization
Author :
Esquivel, James ; Chan, Philip
Author_Institution :
Comput. Studies Dept., De La Salle Univ.-Dasmarinas, Cavite, Philippines
fDate :
6/24/1905 12:00:00 AM
Abstract :
The use of a page-level join index in parallel join optimization requires a proper sequence for accessing data pages in the form of join components. The current approach to this method involves a strategy that first retrieves those components with a high number of page joins so as to keep all processors busy early in the join execution. However, problems regarding conflicts with other valid reading strategies and the choice of an appropriate component whenever several of them satisfy the selection criterion have not been specifically addressed We call such conflicts the join component selection (JCS) problem. To resolve this problem, this paper proposes appropriate component retrieval strategies that will further optimize the parallel join execution. Simulation results demonstrate an improvement over the existing one
Keywords :
parallel algorithms; query processing; relational databases; data page access; join component selection; page-level join index; parallel join optimization; reading strategies; simulation; Bipartite graph; Concurrent computing; Ear; Educational institutions; Joining processes; Multiprocessing systems; Parallel algorithms; Parallel architectures; Query processing; Relational databases;
Conference_Titel :
Parallel Architectures, Algorithms and Networks, 2002. I-SPAN '02. Proceedings. International Symposium on
Conference_Location :
Makati City, Metro Manila
Print_ISBN :
0-7695-1579-7
DOI :
10.1109/ISPAN.2002.1004259