DocumentCode :
2001252
Title :
Supporting ranked join in peer-to-peer networks
Author :
Zhao, Keping ; Zhou, Shuigeng ; Tan, Kian-Lee ; Zhou, Aoying
Author_Institution :
Dept. of Comput. Sci. & Eng., Fudan Univ., Shanghai, China
fYear :
2005
fDate :
22-26 Aug. 2005
Firstpage :
796
Lastpage :
800
Abstract :
This paper addresses the problem of supporting ranked join in peer-to-peer (P2P) networks. Ranked queries produce results that are ordered by a certain computed score. Thanks to the ability of answering information retrieval style queries, ranked query has become a critical need for many applications relying on relational databases, where users do not expect exact answers to their queries, but instead a rank of the objects that best match their preferences. In this paper we propose a novel algorithm P Join for supporting efficient ranked join queries in P2P networks, which is a part of our work to introduce database query processing facilities in P2P networks. The existing ranked join query algorithms consume an excessive amount of bandwidth when they are applied directly into the scenario of P2P networks. By pruning irrelevant tuples before join probing, PJoin reduces considerable amount of bandwidth cost. Performance of the proposed algorithm is validated by extensive experiments.
Keywords :
peer-to-peer computing; query processing; relational databases; P Join algorithm; database query processing; information retrieval; peer-to-peer networks; ranked queries; relational databases; Bandwidth; Computer networks; Computer science; Costs; Information retrieval; Intelligent networks; Peer to peer computing; Query processing; Relational databases; Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications, 2005. Proceedings. Sixteenth International Workshop on
ISSN :
1529-4188
Print_ISBN :
0-7695-2424-9
Type :
conf
DOI :
10.1109/DEXA.2005.181
Filename :
1508370
Link To Document :
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