2022
DOI: 10.1109/jstars.2022.3175657
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A Survey of Spatio-Temporal Big Data Indexing Methods in Distributed Environment

Abstract: With the widespread use of mobile and sensing devices, and the popularity of online map-based services, such as navigation services, the volume of spatio-temporal data is growing rapidly. Conventional big data technologies in existing distributed systems cannot effectively process spatio-temporal big data with temporal continuity and spatial proximity. How to construct an effective index for the application requirements of spatio-temporal data in a distributed environment has become one of the hotspots of spat… Show more

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Cited by 15 publications
(1 citation statement)
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“…Different types of spatio-temporal indexing methods to organize big data introduced by researchers in country and abroad can be categorized on the basis of application background and distributed or centralized environment, and the main burning issues which needs attention in the near future, are proposed for addressing everchanging application requirements [1]. In past few years, many surveys, which have been made public, depict the progress in the field of research related to indexes for spatio-temporal records [2], [3].…”
Section: Introductionmentioning
confidence: 99%
“…Different types of spatio-temporal indexing methods to organize big data introduced by researchers in country and abroad can be categorized on the basis of application background and distributed or centralized environment, and the main burning issues which needs attention in the near future, are proposed for addressing everchanging application requirements [1]. In past few years, many surveys, which have been made public, depict the progress in the field of research related to indexes for spatio-temporal records [2], [3].…”
Section: Introductionmentioning
confidence: 99%