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Geospatial Edge-Fog Computing: A Systematic Review, Taxonomy, and Future Directions

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Mobile Edge Computing

Abstract

Real-time geospatial applications are ever-increasing with modern Information and Communication Technology. Latency and Quality of Service-aware these applications are required to process at the edge of the networks, not at the central cloud servers. Edge and fog nodes of the networks are capable enough for caching the frequently accessed small volume geospatial data, processing with lightweight tools and libraries. Finally, display the image of the processed geospatial data at the edge devices according to the user’s Point of Interest. Several kinds of research are going on edge and fog computing, especially in the geospatial aspects. Health monitoring, weather prediction, emergency communication, disaster management, disease expansion are examples of geospatial real-time applications. In this chapter, we have investigated the existing work in the edge and fog computing with the geospatial paradigm. We propose a taxonomy on related works. At the end of this chapter, we discuss the limitations and future direction of the geospatial edge and fog computing.

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Authors and Affiliations

  1. Advanced Technology Development Centre, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India

    Jaydeep Das

  2. Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India

    Soumya K. Ghosh

  3. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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  1. Jaydeep Das
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  2. Soumya K. Ghosh
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  3. Rajkumar Buyya
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Correspondence to Jaydeep Das .

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Editors and Affiliations

  1. Department of Computer Science, Mahishadal Raj College, Mahishadal, West Bengal, India

    Anwesha Mukherjee

  2. Centre of Mobile Cloud Computing Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Debashis De

  3. Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India

    Soumya K. Ghosh

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Das, J., Ghosh, S.K., Buyya, R. (2021). Geospatial Edge-Fog Computing: A Systematic Review, Taxonomy, and Future Directions. In: Mukherjee, A., De, D., Ghosh, S.K., Buyya, R. (eds) Mobile Edge Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-69893-5_3

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