Please use this identifier to cite or link to this item:
Title: Adaptive multi-join query processing in PDBMS
Authors: Wu, S. 
Vu, Q.H.
Li, J.
Tan, K.-L. 
Issue Date: 2009
Citation: Wu, S.,Vu, Q.H.,Li, J.,Tan, K.-L. (2009). Adaptive multi-join query processing in PDBMS. Proceedings - International Conference on Data Engineering : 1239-1242. ScholarBank@NUS Repository.
Abstract: Traditionally, distributed databases assume that the (small) set of nodes participating in a query is known apriori, the data is well placed, and the statistics are readily available. However, these assumptions are no longer valid in a Peerbased DataBase Management System (PDBMS). As such, it is a challenge to process and optimize queries in a PDBMS. In this paper, we present our distributed solution to this problem for multi-way join queries. Our approach first processes a multi-way join query based on an initial query evaluation plan (generated using statistical data that may be obsolete or inaccurate); as the query is being processed, statistics obtained on-the-fly areused to (continuously) refine the current plan dynamically into a more effective one. We have conducted an extensive performance study which shows that our adaptive query processing strategy can reduce the network traffic significantly. © 2009 IEEE.
Source Title: Proceedings - International Conference on Data Engineering
ISBN: 9780769535456
ISSN: 10844627
DOI: 10.1109/ICDE.2009.210
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on May 20, 2022

Page view(s)

checked on May 12, 2022

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.