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...

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Detalles Bibliográficos
Autores principales: Tang, Mingjie, Yu, Yongyang, Mahmood, Ahmed R., Malluhi, Qutaibah M., Ouzzani, Mourad, Aref, Walid G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931877/
https://www.ncbi.nlm.nih.gov/pubmed/33693403
http://dx.doi.org/10.3389/fdata.2020.00030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931877/
https://www.ncbi.nlm.nih.gov/pubmed/33693403
http://dx.doi.org/10.3389/fdata.2020.00030

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