Distributed k-NN query processing for location services

  • Authors:
  • Jonghyeong Han;Joonwoo Lee;Seungyong Park;Jaeil Hwang;Yunmook Nah

  • Affiliations:
  • Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea;Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea;Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea;Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea;Department of Electronics and Computer Engineering, Dankook University, Seoul, Korea

  • Venue:
  • SEUS'07 Proceedings of the 5th IFIP WG 10.2 international conference on Software technologies for embedded and ubiquitous systems
  • Year:
  • 2007

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Abstract

The architecture named the GALIS is a cluster-based distributed computing system architecture which has been devised to efficiently handle a large volume of LBS application data. In this paper, we propose a distributed k-NN query processing scheme for moving objects on multiple computing nodes, each of which keeps records relevant to a different geographical zone. We also propose a hybrid k-NN scheme, which utilizes range queries instead of k-NN queries for the neighboring overlapped nodes, thus resulting in 30% reduction of query processing cost. Through some experiments, we show the efficiency of hybrid k-NN scheme over naïve k-NN scheme.