Overview
- 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)
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Front Matter
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Introduction on Fog Computing
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Front Matter
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Management at the Fog Layer
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Front Matter
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Services of the Fog Layer
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Front Matter
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Application Use-Cases
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Front Matter
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Back Matter
Keywords
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
Editors and Affiliations
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