Vector Spatial Big Data Storage and Optimized Query Based on the Multi-Level Hilbert Grid Index in HBase

Vector Spatial Big Data Storage and Optimized Query Based on the Multi-Level Hilbert Grid Index in HBase

Faced with the rapid growth of vector data and the urgent requirement of low-latency query, it has become an important and timely challenge to effectively achieve the scalable storage and efficient access of vector big data. However, a systematic method is rarely seen for vector polygon data storage...

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Bibliographic Details
Main Authors: Hua Jiang, Junfeng Kang, Zhenhong Du, Feng Zhang, Xiangzhi Huang, Renyi Liu, Xuanting Zhang
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Information
Subjects:
cloud computing
HBase
vector big data
spatial index
spatial query
Online Access:http://www.mdpi.com/2078-2489/9/5/116

Internet

http://www.mdpi.com/2078-2489/9/5/116

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