Supporting ranked join in peer-to-peer networks

  • Keping Zhao*
  • , Shuigeng Zhou
  • , Kian Lee Tan
  • , Aoying Zhou
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - Sixteenth International Workshop on Database and Expert Systems Applications, DEXA 2005
Pages796-800
Number of pages5
DOIs
StatePublished - 2005
Externally publishedYes
Event16th International Workshop on Database and Expert Systems Applications, DEXA 2005 - Copenhagen, Denmark
Duration: 22 Aug 200526 Aug 2005

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
Volume2006
ISSN (Print)1529-4188

Conference

Conference16th International Workshop on Database and Expert Systems Applications, DEXA 2005
Country/TerritoryDenmark
CityCopenhagen
Period22/08/0526/08/05

Fingerprint

Dive into the research topics of 'Supporting ranked join in peer-to-peer networks'. Together they form a unique fingerprint.

Cite this