Design and achievement of cloud geodatabase for a sponge city

Jing wei Hou, Shi qin Sun, Ren tao Liu, Jian hua Li, Ming xin Zhang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


Building a cloud geodatabase for a sponge city is crucial to integrate the geospatial information dispersed in various departments for multi-user high concurrent access and retrieval, high scalability and availability, efficient storage and management. In this study, Hadoop distributed computing framework, including Hadoop distributed file system and MapReduce (mapper and reducer), is firstly designed with a parallel computing framework to process massive spatial data. Then, access control with a series of standard application programming interfaces for different functions is designed, including spatial data storage layer, cloud geodatabase access layer, spatial data access layer and spatial data analysis layer. Subsequently, a retrieval model is designed, including direct addressing via file name, three-level concurrent retrieval and block data retrieval strategies. Main functions are realised, including real-time concurrent access, high-performance computing, communication, massive data storage, efficient retrieval and scheduling decisions on the multi-scale, multi-source and massive spatial data. Finally, the performance of Hadoop cloud geodatabases is validated and compared with that of the Oracle database. The cloud geodatabase for the sponge city can avoid redundant configuration of personnel, hardware and software, support the data transfer, model debugging and application development, and provide accurate, real-time, virtual, intelligent, reliable, elastically scalable, dynamic and on-demand cloud services of the basic and thematic geographic information for the construction and management of the sponge city.

Original languageEnglish
Pages (from-to)2423-2437
Number of pages15
JournalJournal of Central South University
Issue number10
StatePublished - 1 Oct 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018, Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature.


Foundation item: Project(NZ1628) supported by the Natural Science Foundation of Ningxia, China Received date: 2017−07−04; Accepted date: 2017−12−02 Corresponding author: HOU Jing-wei, PhD, Associate Professor; Tel: +86−15121888067; E-mail: [email protected]; ORCID: 0000-0002-5308-3204

FundersFunder number
Natural Science Foundation of Ningxia Province


    • Hadoop
    • access
    • cloud geodatabase
    • concurrent retrieval
    • sponge city


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