SpringerLink
Log in

Cooperative and Distributed Intelligent Computation in Fog Computing

Concepts, Architectures, and Frameworks

  • Book
  • © 2023

Overview

Authors:
  1. Hoa Tran-Dang

    1. Department of IT Convergence Engineering, Kumoh National Institute of Technology (KIT), Gumi, Korea (Republic of)

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Dong-Seong Kim

    1. Department of IT Convergence Engineering, Kumoh National Institute of Technology (KIT), Gumi, Korea (Republic of)

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Describes the innovative concepts of fog computing for the next-generation fog-enabled IoT
  • Reviews the key distributed computation solutions for fog computing-based IoT systems
  • Proposes a set of novel cooperative and distributed computation algorithms

  • 1230 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook EUR 139.09
Price includes VAT (Germany)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book EUR 181.89
Price includes VAT (Germany)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book EUR 181.89
Price includes VAT (Germany)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This informative text/reference presents a detailed review of the state of the art in fog computing paradigm. In particular, the book examines a broad range of important cooperative and distributed computation algorithms, along with their design objectives and technical challenges.

The coverage includes the conceptual fundamental of fog computing, its practical applications, cooperative and distributed computation algorithms using optimization, swarm intelligence, matching theory, and reinforcement learning methods. Discussions are also provided on remaining challenges and open research issues for designing and develo** the efficient distributed computation solutions in the next-generation of fog-enabled IoT systems.

 


Keywords

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Fog Computing: Fundamental Concepts and Recent Advances in Architectures and Technologies

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 1-18

  3. Applications of Fog Computing

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 19-31

  4. Cooperation for Distributed Task Offloading in Fog Computing Networks

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 33-45

  5. Fog Resource Aware Framework for Task Offloading in IoT Systems

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 47-82

  6. Dynamic Collaborative Task Offloading in Fog Computing Systems

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 83-100

  7. Fundamentals of Matching Theory

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 101-109

  8. Matching Theory for Distributed Computation in IoT-Fog-Cloud Systems

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 111-131

  9. Distributed Computation Offloading Framework for Fog Computing Networks

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 133-155

  10. Reinforcement Learning-Based Resource Allocation in Fog Networks

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 157-189

  11. Bandit Learning and Matching-Based Distributed Task Offloading in Fog Networks

    • Hoa Tran-Dang, Dong-Seong Kim
    Pages 191-202
Back to top

Authors and Affiliations

  • Department of IT Convergence Engineering, Kumoh National Institute of Technology (KIT), Gumi, Korea (Republic of)

    Hoa Tran-Dang, Dong-Seong Kim

About the authors

Dr. Hoa Tran-Dang is research professor, working in the ICT-Convergence research center, in the department of IT convergence engineering at Kumoh National Institute of Technology (KIT). His research interests include Fog/Edge computing, Wireless Communication Networks, Resource Optimization, Machine Learning, and AI.


Prof. Dong-Seong Kim is Director of Networked System Laboratory/ICT-Convergence Research Center (ITRC program), supported by the Korean government, at Kumoh National Institute of Technology, Gumi, South Korea. He is a senior member of the IEEE, and ACM. His research interests include real-time IoT, industrial wireless control network, networked embedded system and Fieldbus.

Bibliographic Information

  • Book Title: Cooperative and Distributed Intelligent Computation in Fog Computing

  • Book Subtitle: Concepts, Architectures, and Frameworks

  • Authors: Hoa Tran-Dang, Dong-Seong Kim

  • DOI: https://doi.org/10.1007/978-3-031-33920-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Hardcover ISBN: 978-3-031-33919-6Published: 23 June 2023

  • Softcover ISBN: 978-3-031-33922-6Published: 24 June 2024

  • eBook ISBN: 978-3-031-33920-2Published: 22 June 2023

  • Edition Number: 1

  • Number of Pages: XVII, 202

  • Number of Illustrations: 20 b/w illustrations, 39 illustrations in colour

  • Topics: Professional Computing, Mobile Computing, Communications Engineering, Networks

Publish with us

Policies and ethics

Back to top

Search

Navigation