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Internet of Everything pp 103–130Cite as

Fog Computing: A Taxonomy, Survey and Future Directions

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Part of the book series: Internet of Things ((ITTCC))

Abstract

In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named “Fog computing” has been introduced. Generally, Fog computing resides closer to the IoT devices/sensors and extends the Cloud-based computing, storage and networking facilities. In this chapter, we comprehensively analyse the challenges in Fogs acting as an intermediate layer between IoT devices/sensors and Cloud datacentres and review the current developments in this field. We present a taxonomy of Fog computing according to the identified challenges and its key features. We also map the existing works to the taxonomy in order to identify current research gaps in the area of Fog computing. Moreover, based on the observations, we propose future directions for research.

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Authors and Affiliations

  1. Cloud Computing and Distributed Systems (CLOUDS) Laboratory Department of Computing and Information System, The University of Melbourne, Parkville, VIC, 3010, Australia

    Redowan Mahmud, Ramamohanarao Kotagiri & Rajkumar Buyya

Authors
  1. Redowan Mahmud
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  2. Ramamohanarao Kotagiri
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  3. Rajkumar Buyya
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Correspondence to Redowan Mahmud .

Editor information

Editors and Affiliations

  1. Department of Industrial and Information Engineering, Università degli studi della Campania Luigi Vanvitelli, Naples, Italy

    Beniamino Di Martino

  2. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  3. Department of Computer Science, St. Francis Xavier University, Antigonish, Nova Scotia, Canada

    Laurence T. Yang

  4. Università degli studi della Campania Luigi Vanvitelli, Aversa, Italy

    Antonio Esposito

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Mahmud, R., Kotagiri, R., Buyya, R. (2018). Fog Computing: A Taxonomy, Survey and Future Directions. In: Di Martino, B., Li, KC., Yang, L., Esposito, A. (eds) Internet of Everything. Internet of Things. Springer, Singapore. https://doi.org/10.1007/978-981-10-5861-5_5

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  • DOI: https://doi.org/10.1007/978-981-10-5861-5_5

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  • Online ISBN: 978-981-10-5861-5

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