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Proceedings Paper

Spatial join optimization among WFSs based on recursive partitioning and filtering rate estimation
Author(s): Guiwen Lan; Congcong Wu; Guangyi Shi; Qi Chen; Zhao Yang
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Paper Abstract

Spatial join among Web Feature Services (WFS) is time-consuming for most of non-candidate spatial objects may be encoded by GML and transferred to client side. In this paper, an optimization strategy is proposed to enhance performance of these joins by filtering non-candidate spatial objects as many as possible. By recursive partitioning, the data skew of sub-areas is facilitated to reduce data transmission using spatial semi-join. Moreover filtering rate is used to determine whether a spatial semi-join for a sub-area is profitable and choose a suitable execution plan for it. The experimental results show that the proposed strategy is feasible under most circumstances.

Paper Details

Date Published: 9 December 2015
PDF: 6 pages
Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083Q (9 December 2015); doi: 10.1117/12.2200943
Show Author Affiliations
Guiwen Lan, Guilin Univ. of Technology (China)
Congcong Wu, Guilin Univ. of Technology (China)
Guangyi Shi, Naval Institute of Engineering and Research (China)
Qi Chen, Guilin Univ. of Technology (China)
Zhao Yang, Guilin Univ. of Technology (China)

Published in SPIE Proceedings Vol. 9808:
International Conference on Intelligent Earth Observing and Applications 2015
Guoqing Zhou; Chuanli Kang, Editor(s)

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