A Trajectory Big Data Storage Model Incorporating Partitioning and Spatio-Temporal Multidimensional Hierarchical Organization

A Trajectory Big Data Storage Model Incorporating Partitioning and Spatio-Temporal Multidimensional Hierarchical Organization

Trajectory big data is suitable for distributed storage retrieval due to its fast update speed and huge data volume, but currently there are problems such as hot data writing, storage skew, high I/O overhead and slow retrieval speed. In order to solve the above problems, this paper proposes a trajec...

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Bibliographic Details
Main Authors: Zhixin Yao, Jianqin Zhang, Taizeng Li, Ying Ding
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
trajectory data
spatio-temporal coding
distributed columnar storage
Hilbert partition
HBase write hot
Online Access:https://www.mdpi.com/2220-9964/11/12/621

Internet

https://www.mdpi.com/2220-9964/11/12/621

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