Building an efficient storage model of spatial-temporal information based on HBase
| Autor: | Guolin Liu, Ke Wang, Min Zhai, Chuanyi Zhou, Zhiwei Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Computer science Reading (computer) Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology Space (commercial competition) computer.software_genre Object (computer science) 01 natural sciences Storage model Encapsulation (networking) Constraint (information theory) General Energy Data model Data mining computer 021101 geological & geomatics engineering 0105 earth and related environmental sciences Abstraction (linguistics) |
| Zdroj: | Journal of Spatial Science. 64:301-317 |
| ISSN: | 1836-5655 1449-8596 |
| DOI: | 10.1080/14498596.2018.1440648 |
| Popis: | 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 ... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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