MistGIS: Optimizing Geospatial Data Analysis Using Mist Computing

  • Rabindra K. Barik
  • Ankita Tripathi
  • Harishchandra Dubey
  • Rakesh K. Lenka
  • Tanjappa Pratik
  • Suraj Sharma
  • Kunal Mankodiya
  • Vinay Kumar
  • Himansu Das
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 710)


Geospatial data analysis with the help of cloud and fog computing is one of the emerging areas for processing, storing, and analysis of geospatial data. Mist computing is also one of the paradigms where fog devices help to reduce the latency period and increase throughput for assisting at the near of edge device of the client. It discusses the emergence of mist computing for mining analytics in geospatial big data from geospatial application. This paper developed a mist computing-based framework for mining analytics from geospatial big data. We developed MistGIS framework for Ganga River Management System using mist computing. It built a prototype using Raspberry Pi, an embedded microprocessor. The developed MistGIS framework has validated by doing preliminary analysis including K-means clustering and overlay analysis. The results showed that mist computing can assist the fog and cloud computing hold an immense promise for analysis of big data in geospatial application particularly in the management of Ganga River Basin.


River Cloud computing Open-source GIS Geospatial big data Fog computing Mist Edge Overlay analysis K-means 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Rabindra K. Barik
    • 1
  • Ankita Tripathi
    • 2
  • Harishchandra Dubey
    • 3
  • Rakesh K. Lenka
    • 4
  • Tanjappa Pratik
    • 4
  • Suraj Sharma
    • 4
  • Kunal Mankodiya
    • 5
  • Vinay Kumar
    • 6
  • Himansu Das
    • 7
  1. 1.School of Computer ApplicationsKalinga Institute of Industrial TechnologyBhubaneswarIndia
  2. 2.John Deere India Private LimitedChennaiIndia
  3. 3.Electrical EngineeringThe University of Texas at DallasDallasUSA
  4. 4.Department of Computer Science & EngineeringIIIT BhubaneswarBhubaneswarIndia
  5. 5.University of Rhode IslandKingstonUSA
  6. 6.Department of ECEVisvesvaraya National Institute of TechnologyNagpurIndia
  7. 7.School of Computer EngineeringKalinga Institute of Industrial TechnologyBhubaneswarIndia

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