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Article

Real-Time Spatial Queries for Moving Objects Using Storm Topology

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School of Earth Sciences, Zhejiang University, 38 Zheda Road, Hangzhou 310027, China
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Zhejiang Provincial Key Laboratory of Geographic Information Science, 148 Tianmushan Road, Hangzhou 310028, China
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Academy of Forest Inventory and Planning, State Forestry Administration, Beijing 100714, China
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Department of Public Order, Zhejiang Police College, 555 Binwen Road, Hangzhou 310053, China
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Department of Geography, Kent State University, Kent, OH 44240, USA
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Authors to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(10), 178; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi5100178
Received: 27 July 2016 / Revised: 23 September 2016 / Accepted: 23 September 2016 / Published: 29 September 2016
With the rapid development of mobile data acquisition technology, the volume of available spatial data is growing at an increasingly fast pace. The real-time processing of big spatial data has become a research frontier in the field of Geographic Information Systems (GIS). To cope with these highly dynamic data, we aim to reduce the time complexity of data updating by modifying the traditional spatial index. However, existing algorithms and data structures are based on single work nodes, which are incapable of handling the required high numbers and update rates of moving objects. In this paper, we present a distributed spatial index based on Apache Storm, an open-source distributed real-time computation system. Using this approach, we compare the range and K-nearest neighbor (KNN) query efficiency of four spatial indexes on a single dataset and introduce a method of performing spatial joins between two moving datasets. In particular, we build a secondary distributed index for spatial join queries based on the grid-partition index. Finally, a series of experiments are presented to explore the factors that affect the performance of the distributed index and to demonstrate the feasibility of the proposed distributed index based on Storm. As a real-world application, this approach has been integrated into an information system that provides real-time traffic decision support. View Full-Text
Keywords: real time; spatial query; moving objects; Apache Storm real time; spatial query; moving objects; Apache Storm
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MDPI and ACS Style

Zhang, F.; Zheng, Y.; Xu, D.; Du, Z.; Wang, Y.; Liu, R.; Ye, X. Real-Time Spatial Queries for Moving Objects Using Storm Topology. ISPRS Int. J. Geo-Inf. 2016, 5, 178. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi5100178

AMA Style

Zhang F, Zheng Y, Xu D, Du Z, Wang Y, Liu R, Ye X. Real-Time Spatial Queries for Moving Objects Using Storm Topology. ISPRS International Journal of Geo-Information. 2016; 5(10):178. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi5100178

Chicago/Turabian Style

Zhang, Feng, Ye Zheng, Dengping Xu, Zhenhong Du, Yingzhi Wang, Renyi Liu, and Xinyue Ye. 2016. "Real-Time Spatial Queries for Moving Objects Using Storm Topology" ISPRS International Journal of Geo-Information 5, no. 10: 178. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi5100178

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