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Fog Computing in the Internet of Things

Intelligence at the Edge

  • Provides a single-source reference to the state of the art in Fog Computing
  • Enables readers to understand what fog computing is and the use cases that drive towards it, plus the benefits of using fog computing in Internet of Things
  • Describes internal architecture and organization of services in fog computing

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-vi
  2. Introduction on Fog Computing

    1. Front Matter

      Pages 1-1
    2. Fog Computing Fundamentals in the Internet-of-Things

      • Behailu Negash, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch
      Pages 3-13
  3. Management at the Fog Layer

    1. Front Matter

      Pages 15-15
    2. IoT Resource Estimation Challenges and Modeling in Fog

      • Mohammad Aazam, Marc St-Hilaire, Chung-Horng Lung, Ioannis Lambadaris, Eui-Nam Huh
      Pages 17-31
    3. Tackling IoT Ultra Large Scale Systems: Fog Computing in Support of Hierarchical Emergent Behaviors

      • Damian Roca, Rodolfo Milito, Mario Nemirovsky, Mateo Valero
      Pages 33-48
  4. Services of the Fog Layer

    1. Front Matter

      Pages 49-49
    2. The Present and Future of Privacy-Preserving Computation in Fog Computing

      • Patrícia R. Sousa, Luís Antunes, Rolando Martins
      Pages 51-69
    3. Self-Aware Fog Computing in Private and Secure Spheres

      • Kalle Tammemäe, Axel Jantsch, Alar Kuusik, Jürgo-Sören Preden, Enn Õunapuu
      Pages 71-99
    4. Urban IoT Edge Analytics

      • Aakanksha Chowdhery, Marco Levorato, Igor Burago, Sabur Baidya
      Pages 101-120
  5. Application Use-Cases

    1. Front Matter

      Pages 121-121
    2. Control-as-a-Service in Cyber-Physical Energy Systems over Fog Computing

      • Korosh Vatanparvar, Mohammad Abdullah Al Faruque
      Pages 123-144
    3. Leveraging Fog Computing for Healthcare IoT

      • Behailu Negash, Tuan Nguyen Gia, Arman Anzanpour, Iman Azimi, Mingzhe Jiang, Tomi Westerlund et al.
      Pages 145-169
  6. Back Matter

    Pages 171-172

About this book

This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications.

Reviews

“The book is central to the understanding and advanced study of fog computing. It follows an effective model, based on eight scientific papers of a very high level, and is suitable for readers who want an introduction to the area, according to an organization inspired by the Open Systems Interconnection (OSI) stack.” (Joao Orvalho, Computing Reviews, May, 2018)​

Editors and Affiliations

  • Department of Computer Science, University of California, Irvine, USA

    Amir M. Rahmani

  • Department of Future Technologies, University of Turku, Turku, Finland

    Pasi Liljeberg

  • Thinnect, Inc., Sunnyvale, USA

    Jürgo-Sören Preden

  • Institute of Computer Technology, TU Wien, Vienna, Austria

    Axel Jantsch

About the editors

Amir. M. Rahmani is currently an EU Marie Curie Global Fellow at University of California Irvine, USA, and TU Wien, Austria. He is also adjunct professor (Docent) in embedded parallel and distributed computing at University of Turku, Finland. He received his Master’s degree from Department of Electrical and Computer Engineering, University of Tehran, Iran, in 2009 and Ph.D. degree from Department of Information Technology, University of Turku, Finland, in 2012. He also received his MBA jointly from Turku School of Economics and European Institute of Innovation & Technology (EIT) ICT Labs, in 2014. He is the author of more than 130 peer-reviewed publications. His research interests span Self-aware Computing, Energy-efficient Many-core Systems, Runtime Resource Management, Healthcare Internet of Things, and Fog Computing. 

Pasi Liljeberg is a professor in Department of Future Technologies, University of Turku, Finland. He received the M.Sc. and Ph.D.degrees in Electronics and Information Technology from the University of Turku, Turku, Finland, in 1999 and 2005, respectively. During the period 2007–2009, he held an Academy of Finland researcher position. He is the author of more than 250 peer-reviewed publications, has supervised nine Ph.D. theses. Liljeberg is the leader of the Internet-of-Things for Healthcare (IoT4Health) research group.

Jürgo Preden is the founder and CTO of IoT Technologies, he was also the founder and CTO of Defendec. Jurgo is also active as a senior research scientist and also serving as the head of the Research Laboratory for Proactive Technologies at Tallinn University of Technology. Jurgo's research interests are focused on cyber-physical systems, more specifically the situation awareness of such systems and the computation and communication in ad-hoc sensing systems. Jürgo Preden represents Estonia in NATO RTA System Concepts and Integration panel and he has been involved in the activities of NATO STO task groups.

Axel Jantsch is Professor in Systems-on-Chip, at TU Wien Institute of Computer Technology, in Vienna, Austria. He was a Professor of Electronic System Design with the Royal Institute of Technology, Stockholm, Sweden. He received the Dipl.-Ing and Dr.Tech. degrees from the Vienna University of Technology, Vienna, Austria. His current research interests include VLSI design and synthesis, system-level specification, self-aware computing, Cyber-Physical Systems and Internet of Things, modeling and validation, HW/SW co-design and co-syntheses, reconfigurable computing, and networks-on-chip.

Bibliographic Information

  • Book Title: Fog Computing in the Internet of Things

  • Book Subtitle: Intelligence at the Edge

  • Editors: Amir M. Rahmani, Pasi Liljeberg, Jürgo-Sören Preden, Axel Jantsch

  • DOI: https://doi.org/10.1007/978-3-319-57639-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-57638-1Published: 07 June 2017

  • Softcover ISBN: 978-3-319-86214-9Published: 02 August 2018

  • eBook ISBN: 978-3-319-57639-8Published: 29 May 2017

  • Edition Number: 1

  • Number of Pages: VI, 172

  • Number of Illustrations: 11 b/w illustrations, 49 illustrations in colour

  • Topics: Circuits and Systems, Processor Architectures, Signal, Image and Speech Processing

Buy it now

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access