LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

<p>Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. In this paper, we present new techniques for spatial query processing and optimization in an i...

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Bibliographic Details
Main Author: Mingjie Tang (227920) (author)
Other Authors: Yongyang Yu (400611) (author), Ahmed R. Mahmood (18623587) (author), Qutaibah M. Malluhi (14151912) (author), Mourad Ouzzani (3618794) (author), Walid G. Aref (18623590) (author)
Published: 2020
Subjects:
Engineering
Geomatic engineering
Information and computing sciences
Data management and data science
spatial data
query processing
in-memory computation
parallel computing
query optimization
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