NDLI: A load balancing skyline query algorithm in high bandwidth distributed systems

Content Provider	IEEE Xplore Digital Library
Author	Jin Huang Jian Chen Qing Du Jian Yin
Copyright Year	2010
Description	Author affiliation: School of Software Engineering, South China University of Technology, Guangzhou, China, 510006 (Jian Chen; Qing Du) \|\| School of Information, Science and Technology, Sun Yat-sen University, Guangzhou, China, 510275 (Jin Huang; Jian Yin)
Abstract	Skyline queries, which retrieve the points that are not dominated by any other points in a given dataset, are well recognized as a powerful tool in multi-criteria decision making. Most of the previous works focus on computing skylines on centralized environments typically with one CPU. In this paper, to scale up skyline computation on large datasets, we propose a load balancing parallel skyline query algorithm for multi-processor clusters or high-speed network environments. Our algorithm utilizes the monotonic ordering and clustering properties of Z-order to reduce dominance tests and significantly shortens the response time by performing parallel processing over multiple processors. Our algorithm is progressive, fast convergent and scalable. Extensive experiments were conducted to demonstrate the feasibility and effectiveness of the proposed algorithm.
Starting Page	2076
Ending Page	2080
File Size	376205
Page Count	5
File Format	PDF
ISBN	9781424459315
e-ISBN	9781424459346
DOI	10.1109/FSKD.2010.5569700
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Program processors Peer to peer computing Clustering algorithms Distributed databases Load management Partitioning algorithms Time factors
Content Type	Text
Resource Type	Article

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