Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDE.2009.210
DC FieldValue
dc.titleAdaptive multi-join query processing in PDBMS
dc.contributor.authorWu, S.
dc.contributor.authorVu, Q.H.
dc.contributor.authorLi, J.
dc.contributor.authorTan, K.-L.
dc.date.accessioned2013-07-04T08:30:41Z
dc.date.available2013-07-04T08:30:41Z
dc.date.issued2009
dc.identifier.citationWu, 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. <a href="https://doi.org/10.1109/ICDE.2009.210" target="_blank">https://doi.org/10.1109/ICDE.2009.210</a>
dc.identifier.isbn9780769535456
dc.identifier.issn10844627
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41573
dc.description.abstractTraditionally, 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 However, these assumptions are no longer valid in a Peerbased DataBase Management System (PDBMS).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.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICDE.2009.210
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ICDE.2009.210
dc.description.sourcetitleProceedings - International Conference on Data Engineering
dc.description.page1239-1242
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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

Google ScholarTM

Check

Altmetric


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