Overview
- Reviews the latest research, development and practice relating to the opportunities, challenges and methodologies of the fog computing paradigm
- Presents case studies examining challenges, best practices and solutions
- Describes potential future trends in emerging distributing computing and communication technologies
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Table of contents (13 chapters)
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Front Matter
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Concepts and Principles
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Front Matter
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Frameworks and Technologies
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Front Matter
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Advanced Topics and Future Directions
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Front Matter
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Back Matter
Keywords
About this book
This authoritative text/reference describes the state of the art of fog computing, presenting insights from an international selection of renowned experts. A particular focus is provided on development approaches, architectural mechanisms, and measurement metrics for building smart adaptable environments. The coverage also includes important related topics such as device connectivity, security and interoperability, and communication methods.
Topics and features: introduces the core concepts and principles of fog computing, and reviews the latest research and best practice relating to fog/edge environments; discusses the vision for an Internet of Things (IoT) in terms of fog computing and other related distributed computing paradigms, such as cloud computing; presents a survey of the key issues and broader aspects of the fog paradigm, as well as the factors that affect adoption of fog computing; examines frameworks and methodologies for fog-based architecture design, improving performance, and measuring quality of experience; proposes tools and methodologies for analyzing large amounts of sensor data from smart city initiatives; describes approaches for designing robust services, management of data-intensive applications, context-aware data analysis, and vehicular networking; identifies potential future research directions and technological innovations in relation to distributed computing environments such as the IoT.This enlightening volume offers essential perspectives for researchers of distributed computing and computer networking, as well as for advanced undergraduate and graduate students pursuing interests in this area. Professional engineers seeking to enhance security and connectivity in their IoT systems will also find this work to be a valuable reference.Editors and Affiliations
About the editor
Prof. Dr. Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and a Professor at the Shijiazhuang Tiedao University in Hebei, China. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan. He has previously served as a Reader (Associate Professor) at the University of Derby, UK, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. Among his many publications are the Springer titles Smart Cities, Connected Environments for the Internet of Things, Software Project Management for Distributed Computing, Requirements Engineering for Service and Cloud Computing, Connectivity Frameworks for Smart Devices, Data Science and Big Data Computing, Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.
Bibliographic Information
Book Title: Fog Computing
Book Subtitle: Concepts, Frameworks and Technologies
Editors: Zaigham Mahmood
DOI: https://doi.org/10.1007/978-3-319-94890-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-94889-8Published: 23 July 2018
Softcover ISBN: 978-3-030-06932-2Published: 13 December 2018
eBook ISBN: 978-3-319-94890-4Published: 12 July 2018
Edition Number: 1
Number of Pages: XXI, 291
Number of Illustrations: 92 b/w illustrations
Topics: Computer Communication Networks, Information Systems Applications (incl. Internet), Management of Computing and Information Systems, Input/Output and Data Communications, Data Storage Representation, Software Engineering