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MHBase: A Distributed Real-Time Query Scheme for Meteorological Data Based on HBase

Author

Listed:
  • Tinghuai Ma

    (Jiangsu Engineering Centre of Network Monitoring, Nanjing University of information Science and Technology, Nanjing 210044, Jiangsu, China)

  • Xichao Xu

    (School of Computer Software, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China)

  • Meili Tang

    (School of Public Administration, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China)

  • Yuanfeng Jin

    (Departmet of Mathmatics, YanBian University, Yanji 133002, Jilin, China)

  • Wenhai Shen

    (National Meteorological Information Center, Beijing 100080, China)

Abstract

Meteorological technology has evolved rapidly in recent years to provide enormous, accurate and personalized advantages in the public service. Large volumes of observational data are generated gradually by technologies such as geographical remote sensing, meteorological radar satellite, etc. that makes data analysis in weather forecasting more precise but also poses a threat to the traditional method of data storage. In this paper, we present MHBase, (Meteorological data based on HBase (Hadoop Database), a distributed real-time query scheme for meteorological data based on HBase. The calibrated data obtained from terminal devices will be partitioned into HBase and persisted to HDFS (the Hadoop Distributed File System). We propose two algorithms ( the Indexed Store and the Indexed Retrieve Algorithms ) to implement a secondary index using HBase Coprocessors, which allow MHbase to provide high performance data querying on columns other than rowkey. Experimental results show that the performance of MHBase can satisfy the basic demands of meteorological business services.

Suggested Citation

  • Tinghuai Ma & Xichao Xu & Meili Tang & Yuanfeng Jin & Wenhai Shen, 2016. "MHBase: A Distributed Real-Time Query Scheme for Meteorological Data Based on HBase," Future Internet, MDPI, vol. 8(1), pages 1-14, March.
  • Handle: RePEc:gam:jftint:v:8:y:2016:i:1:p:6-:d:64830
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