ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-4/W2, 1-5, 2015
https://doi.org/10.5194/isprsannals-II-4-W2-1-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
10 Jul 2015
A SPATIOTEMPORAL AGGREGATION QUERY METHOD USING MULTI-THREAD PARALLEL TECHNIQUE BASED ON REGIONAL DIVISION
S. Liao, L. Chen, J. Li, W. Xiong, and Q. Wu College of Electronic Science and Engineering, National University of Defense Technology, Changsha, Hunan Province, China
Keywords: Moving Objects, Spatiotemporal Aggregation, Multi-thread Parallel, Regional Division Abstract. Existing spatiotemporal database supports spatiotemporal aggregation query over massive moving objects datasets. Due to the large amounts of data and single-thread processing method, the query speed cannot meet the application requirements. On the other hand, the query efficiency is more sensitive to spatial variation then temporal variation. In this paper, we proposed a spatiotemporal aggregation query method using multi-thread parallel technique based on regional divison and implemented it on the server. Concretely, we divided the spatiotemporal domain into several spatiotemporal cubes, computed spatiotemporal aggregation on all cubes using the technique of multi-thread parallel processing, and then integrated the query results. By testing and analyzing on the real datasets, this method has improved the query speed significantly.
Conference paper (PDF, 1205 KB)


Citation: Liao, S., Chen, L., Li, J., Xiong, W., and Wu, Q.: A SPATIOTEMPORAL AGGREGATION QUERY METHOD USING MULTI-THREAD PARALLEL TECHNIQUE BASED ON REGIONAL DIVISION, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-4/W2, 1-5, https://doi.org/10.5194/isprsannals-II-4-W2-1-2015, 2015.

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