Please use this identifier to cite or link to this item:
https://doi.org/10.1109/ICDE.2009.210
DC Field | Value | |
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dc.title | Adaptive multi-join query processing in PDBMS | |
dc.contributor.author | Wu, S. | |
dc.contributor.author | Vu, Q.H. | |
dc.contributor.author | Li, J. | |
dc.contributor.author | Tan, K.-L. | |
dc.date.accessioned | 2013-07-04T08:30:41Z | |
dc.date.available | 2013-07-04T08:30:41Z | |
dc.date.issued | 2009 | |
dc.identifier.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. <a href="https://doi.org/10.1109/ICDE.2009.210" target="_blank">https://doi.org/10.1109/ICDE.2009.210</a> | |
dc.identifier.isbn | 9780769535456 | |
dc.identifier.issn | 10844627 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/41573 | |
dc.description.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 However, these assumptions are no longer valid in a Peerbased DataBase Management System (PDBMS).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. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICDE.2009.210 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1109/ICDE.2009.210 | |
dc.description.sourcetitle | Proceedings - International Conference on Data Engineering | |
dc.description.page | 1239-1242 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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