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Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Future Directions

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Resource Management in Distributed Systems

Part of the book series: Studies in Big Data ((SBD,volume 151))

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Abstract

The fog computing paradigm has generated increasing research interest because it focuses on transferring the computational process to the edge of the network near the end-user. Fog nodes, the majority of physical devices in a fog environment, are geographically distributed and heterogeneous with limited resources. Fog computing consumes a lot of energy since there are numerous energy-constrained fog nodes in the fog environment. It is very important to optimize the Quality of Service (QoS) for integrated Internet of Things (IoT) and fog computing environments to deliver cost-effective and energy-efficient services. This chapter presents an analysis of the latest resource scheduling techniques for integrated IoT and fog computing environments. Furthermore, a taxonomy of resource scheduling techniques for integrated IoT and fog computing environments is proposed to understand their current status and identify the existing research gaps. Moreover, it discusses using Federated Learning to optimise QoS. Finally, it proposes future directions for research on this topic.

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Author information

Authors and Affiliations

  1. Department of Computing and Communications, Lancaster University, Lancaster, UK

    Naif Alshammari, Qiang Ni & Hasan Ahmed

  2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Sukhpal Singh Gill

  3. University of Essex, Colchester, UK

    Haris Pervaiz

Authors
  1. Naif Alshammari
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  2. Sukhpal Singh Gill
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  3. Haris Pervaiz
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  4. Qiang Ni
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  5. Hasan Ahmed
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Corresponding author

Correspondence to Sukhpal Singh Gill .

Editor information

Editors and Affiliations

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

    Anwesha Mukherjee

  2. Department of Computer Science and Engineering, Maulana Abul kalam Azad University of Technology, West Bengal, Haringhata, India

    Debashis De

  3. School of Computing and Information Systems, The University of Melbourne, Melbourne, Australia

    Rajkumar Buyya

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Alshammari, N., Gill, S.S., Pervaiz, H., Ni, Q., Ahmed, H. (2024). Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Future Directions. In: Mukherjee, A., De, D., Buyya, R. (eds) Resource Management in Distributed Systems. Studies in Big Data, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-97-2644-8_4

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