A NoSQL-SQL hybrid organization and management approach for real-time geospatial data: A case study of public security video surveillance

Chen Wu, Qing Zhu, Yeting Zhang, Zhiqiang Du, Xinyue Ye, Han Qin, Yan Zhou

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

With the widespread deployment of ground, air and space sensor sources (internet of things or IoT, social networks, sensor networks), the integrated applications of real-time geospatial data from ubiquitous sensors, especially in public security and smart city domains, are becoming challenging issues. The traditional geographic information system (GIS) mostly manages time-discretized geospatial data by means of the Structured Query Language (SQL) database management system (DBMS) and emphasizes query and retrieval of massive historical geospatial data on disk. This limits its capability for on-the-fly access of real-time geospatial data for online analysis in real time. This paper proposes a hybrid database organization and management approach with SQL relational databases (RDB) and not only SQL (NoSQL) databases (including the main memory database, MMDB, and distributed files system, DFS). This hybrid approach makes full use of the advantages of NoSQL and SQL DBMS for the real-time access of input data and structured on-the-fly analysis results which can meet the requirements of increased spatio-temporal big data linking analysis. The MMDB facilitates real-time access of the latest input data such as the sensor web and IoT, and supports the real-time query for online geospatial analysis. The RDB stores change information such as multi-modal features and abnormal events extracted from real-time input data. The DFS on disk manages the massive geospatial data, and the extensible storage architecture and distributed scheduling of a NoSQL database satisfy the performance requirements of incremental storage and multi-user concurrent access. A case study of geographic video (GeoVideo) surveillance of public security is presented to prove the feasibility of this hybrid organization and management approach.

Original languageEnglish (US)
Article number21
JournalISPRS International Journal of Geo-Information
Volume6
Issue number1
DOIs
StatePublished - Jan 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Geography, Planning and Development
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)

Keywords

  • Data management
  • GeoVideo
  • Hybrid databases
  • NoSQL
  • Public security
  • RDBMS
  • Real-time geospatial data

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