Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICDEW.2008.4498313
Title: Skyline-join in distributed databases
Authors: Sun, D.
Wu, S. 
Li, J.
Tung, A.K.H. 
Issue Date: 2008
Citation: Sun, D., Wu, S., Li, J., Tung, A.K.H. (2008). Skyline-join in distributed databases. Proceedings - International Conference on Data Engineering : 176-181. ScholarBank@NUS Repository. https://doi.org/10.1109/ICDEW.2008.4498313
Abstract: The database research community has recently recognized the usefulness of skyline query. As an extension of existing database operator, the skyline query is valuable for multi-criteria decision making. However, current research tends to assume that the skyline operator is applied to one table which is not true for many applications on web databases. In web databases, tables are distributed in different sites, and a skyline query may involve attributes of multiple tables. In this paper, we address the problem of processing skyline queries on multiple tables In a distributed environment. We call the new operator skyline-join, as it is a hybrid of skyline and join operations. We propose two efficient approaches to process skyline-join queries which can significantly reduce the communication cost and processing time. Experiments are conducted and results show that our approaches are efficient for distributed skyline-join queries. © 2008 IEEE.
Source Title: Proceedings - International Conference on Data Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/40450
ISBN: 9781424421626
ISSN: 10844627
DOI: 10.1109/ICDEW.2008.4498313
Appears in Collections:Staff Publications

Show full 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.