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Cited 8 time in webofscience Cited 11 time in scopus
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Spatial indexing for massively update intensive applications

Authors
Song, MoonBaeChoo, HyunseungKim, Won
Issue Date
25-Oct-2012
Publisher
ELSEVIER SCIENCE INC
Keywords
R-tree; Update buffering; Spatial index; Update-intensive application
Citation
INFORMATION SCIENCES, v.203, pp.1 - 23
Journal Title
INFORMATION SCIENCES
Volume
203
Start Page
1
End Page
23
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/16075
DOI
10.1016/j.ins.2012.03.001
ISSN
0020-0255
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. (C) 2012 Elsevier Inc. All rights reserved.
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