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Fog Computing: State-of-Art, Open Issues, Challenges and Future Directions

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Intelligent Computing Paradigm and Cutting-edge Technologies (ICICCT 2020)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 21))

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Abstract

The recent advancement of computing paradigm named “Fog Computing” helps to satisfy the real-time latency sensitive, geo-distributed applications that requires high computational demand. Fog computing function as a middle layer in-between sensors and IoT that brings computation, storage and network functionality of cloud. This paper presents a comprehensive analysis and challenges in fog computing and provides a taxonomy of these challenges and properties with their research challenges and future research directions.

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Author information

Authors and Affiliations

  1. SITE School, VIT, Vellore, India

    M. Sathish Kumar & M. Iyapparaja

Authors
  1. M. Sathish Kumar
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  2. M. Iyapparaja
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Corresponding author

Correspondence to M. Iyapparaja .

Editor information

Editors and Affiliations

  1. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  2. Department of Creative Technologies and Product Design, National Taipei University of Business, Taipei City, Taiwan

    Sheng-Lung Peng

  3. School of Engineering, RMIT University, Bundoora East Campus, Melbourne, VIC, Australia

    Milan Simic

  4. Department of Computer Information Systems, Al-Balqa’ Applied University, As-Salt, Jordan

    Basim Alhadidi

  5. Department of Computer Science and Engineering, Global Institute of Management and Technology, Kolkata, India

    Souvik Pal

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Sathish Kumar, M., Iyapparaja, M. (2021). Fog Computing: State-of-Art, Open Issues, Challenges and Future Directions. In: Favorskaya, M.N., Peng, SL., Simic, M., Alhadidi, B., Pal, S. (eds) Intelligent Computing Paradigm and Cutting-edge Technologies. ICICCT 2020. Learning and Analytics in Intelligent Systems, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-65407-8_27

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