Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDE.2009.210
Title: Adaptive multi-join query processing in PDBMS
Authors: Wu, S. 
Vu, Q.H.
Li, J.
Tan, K.-L. 
Issue Date: 2009
Source: 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. https://doi.org/10.1109/ICDE.2009.210
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 However, these assumptions are no longer valid in a Peerbased DataBase Management System (PDBMS).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
URI: http://scholarbank.nus.edu.sg/handle/10635/41573
ISBN: 9780769535456
ISSN: 10844627
DOI: 10.1109/ICDE.2009.210
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