Spartial indexing for massively update intensive applications

MoonBae Song, Hyunseung Choo, and Won Kim

Information Sciences, vol. 203, no. 25, pp. 1-23, Oct. 2012 (SCI, IF: 3.643)

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.

 

Keyword

R-tree, Update buffering, Spatial index, Update-intensive application

 

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