9 December 2015 Spatial join optimization among WFSs based on recursive partitioning and filtering rate estimation
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Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 98083Q (2015) https://doi.org/10.1117/12.2200943
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China
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.
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Guiwen Lan, Guiwen Lan, Congcong Wu, Congcong Wu, Guangyi Shi, Guangyi Shi, Qi Chen, Qi Chen, Zhao Yang, Zhao Yang, } "Spatial join optimization among WFSs based on recursive partitioning and filtering rate estimation", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 98083Q (9 December 2015); doi: 10.1117/12.2200943; https://doi.org/10.1117/12.2200943
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