LocationSpark: In-memory Distributed Spatial Query Processing and Optimization
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 in-memory...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-10-01
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Series: | Frontiers in Big Data |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fdata.2020.00030/full |