Spatial indexing for massively update intensive applications

  • Authors:
  • MoonBae Song;Hyunseung Choo;Won Kim

  • Affiliations:
  • Samsung Electronics, Suwon, Republic of Korea;Sungkyunkwan University, Suwon, Republic of Korea;Gachon University, Seongnam, Republic of Korea

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2012

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Abstract

Supporting high update throughput is important to provide real-time location information for many applications, which involve moving objects, such as security, military, and environmental monitoring. We present an R-tree-based index structure with a family of update strategies for supporting high update throughput. It groups updates in the update buffer, and bulk-applies them into the R-tree. Extensive empirical studies have shown that it outperforms existing techniques by 2-5 times. In our experimental environment, moreover, it is able to provide the real-time update capability, while its competitors fail to do so.