NDLI: Skyline Query Based on User Preference with MapReduce

Content Provider	IEEE Xplore Digital Library
Author	Yuanyuan Li Wenyu Qu Zhiyang Li Yujie Xu Changqing Ji Junfeng Wu
Copyright Year	2014
Description	Author affiliation: Coll. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China (Yuanyuan Li; Wenyu Qu; Zhiyang Li; Yujie Xu; Changqing Ji; Junfeng Wu)
Abstract	Skyline queries are useful in decision making applications. Skyline queries in highly mobile distributed environments have attracted many attentions recently due to the development of mobile internet device. The properties of distributed computing make skyline queries more complicated especially in any subspace. Conventional skyline algorithms do not support subspace skyline queries in distributed environment. In this paper, we focus on how to perform distributed skyline queries in any subspace according to user preference. So we propose a system model in a mobile and distributed environment. An efficient parallel algorithm for processing the Subspace Skyline Query (SSQ) using MapReduce is applied to the system model. This algorithm can report skyline points in any subspace. Meanwhile, a pruning strategy is also proposed in order to reduce the network communication and minimize the response time. We conduct experiments on real and synthetic data. Experimental results indicate that our SSQ algorithm is much more efficient. Furthermore, the pruning strategy can further improve the performance of the algorithm.
Sponsorship	IEEE Comput. Soc.
Starting Page	153
Ending Page	158
File Size	505168
Page Count	6
File Format	PDF
e-ISBN	9781479950799
DOI	10.1109/DASC.2014.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Distributed databases grid pruning strategy Educational institutions Mobile communication skyline Indexes Servers Parallel algorithms multiple objective decision MapReduce
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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