R*-Grove: Balanced Spatial Partitioning for Large-Scale Datasets

The rapid growth of big spatial data urged the research community to develop several big spatial data systems. Regardless of their architecture, one of the fundamental requirements of all these systems is to spatially partition the data efficiently across machines. The core challenges of big spatial...

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Bibliographic Details
Main Authors: Tin Vu, Ahmed Eldawy
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fdata.2020.00028/full