标题:Building an efficient storage model of spatial-temporal information based on HBase
作者:Wang, Ke; Liu, Guolin; Zhai, Min; Wang, Zhiwei; Zhou, Chuanyi
作者机构:[Wang, Ke; Liu, Guolin; Zhai, Min; Wang, Zhiwei; Zhou, Chuanyi] Shandong Univ Sci & Technol, Coll Geomat, Qingdao, Shandong, Peoples R China.
通讯作者:Liu, GL
通讯作者地址:[Liu, GL]Shandong Univ Sci & Technol, Coll Geomat, Qingdao, Shandong, Peoples R China.
来源:JOURNAL OF SPATIAL SCIENCE
出版年:2019
卷:64
期:2
页码:301-317
DOI:10.1080/14498596.2018.1440648
关键词:HBase; semantic constraint principle; spatial-temporal information;; meta-semantic object; query time
摘要:Geographic space is abstracted into a meta-semantic object (MSO), which is regarded as the smallest storage unit according to the semantic constraint principle and the characteristics of spatial-temporal information. An efficient organization and storage method is proposed by adopting the strong expansibility and real-time reading and writing characteristics of HBase through the encapsulation of MSO spatial-temporal information. This paper focuses on the classification and abstraction of geographic spatial-temporal information. The HBase platform is used as a carrier for the storage of massive spatial-temporal data. An HBase storage model is built by constructing a spatial-temporal data table and designing the physical structure of the MSO. By comparing the query time of the proposed model with that of the traditional spatial-temporal data model, the experimental results show that the query speed of the proposed model is higher. This provides a new idea for the organization and storage of massive spatial-temporal data.
收录类别:SCIE
资源类型:期刊论文
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