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http://dx.doi.org/10.5392/JKCA.2014.14.10.454

Reverse k-Nearest Neighbor Query Processing Method for Continuous Query Processing in Bigdata Environments  

Lim, Jongtae (충북대학교 정보통신공학과)
Park, Sunyong (충북대학교 정보통신공학과)
Seo, Kiwon (충북대학교 정보통신공학과)
Lee, Minho (한국과학기술정보연구원)
Bok, Kyoungsoo (충북대학교 정보통신공학과)
Yoo, Jaesoo (충북대학교 정보통신공학과)
Publication Information
The Journal of the Korea Contents Association / v.14, no.10, 2014 , pp. 454-462 More about this Journal
Abstract
With the development of location aware technologies and mobile devices, location-based services have been studied. To provide location-based services, many researchers proposed methods for processing various query types with Mapreduce(MR). One of the proposed methods, is a Reverse k-nearest neighbor(RkNN) query processing method with MR. However, the existing methods spend too much cost to process the continuous RkNN query. In this paper, we propose an efficient continuous RkNN query processing method with MR to resolve the problems of the existing methods. The proposed method uses the 60-degree-pruning method. The proposed method does not need to reprocess the query for continuous query processing because the proposed method draws and monitors the monitoring area including the candidate objects of a RkNN query. In order to show the superiority of the proposed method, we compare it with the query processing performance of the existing method.
Keywords
MapReduce; Reverse k-NN Query; Continuous Query; Location-based Services; Bigdata;
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Times Cited By KSCI : 2  (Citation Analysis)
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