John Wiley & Sons Fog Computing Cover Summarizes the current state and upcoming trends within the area of fog computing Written by some o.. Product #: 978-1-119-55169-0 Regular price: $132.38 $132.38 In Stock

Fog Computing

Theory and Practice

Abbas, Assad / Khan, Samee U. / Zomaya, Albert Y. (Editor)

Wiley Series on Parallel and Distributed Computing


1. Edition May 2020
608 Pages, Hardcover
Wiley & Sons Ltd

ISBN: 978-1-119-55169-0
John Wiley & Sons

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Summarizes the current state and upcoming trends within the area of fog computing

Written by some of the leading experts in the field, Fog Computing: Theory and Practice focuses on the technological aspects of employing fog computing in various application domains, such as smart healthcare, industrial process control and improvement, smart cities, and virtual learning environments. In addition, the Machine-to-Machine (M2M) communication methods for fog computing environments are covered in depth.

Presented in two parts--Fog Computing Systems and Architectures, and Fog Computing Techniques and Application--this book covers such important topics as energy efficiency and Quality of Service (QoS) issues, reliability and fault tolerance, load balancing, and scheduling in fog computing systems. It also devotes special attention to emerging trends and the industry needs associated with utilizing the mobile edge computing, Internet of Things (IoT), resource and pricing estimation, and virtualization in the fog environments.
* Includes chapters on deep learning, mobile edge computing, smart grid, and intelligent transportation systems beyond the theoretical and foundational concepts
* Explores real-time traffic surveillance from video streams and interoperability of fog computing architectures
* Presents the latest research on data quality in the IoT, privacy, security, and trust issues in fog computing

Fog Computing: Theory and Practice provides a platform for researchers, practitioners, and graduate students from computer science, computer engineering, and various other disciplines to gain a deep understanding of fog computing.

Part I: Fog Computing Systems and Architectures

Ch 1 Mobile Fog Computing: Architectures, Approaches and Open Challenges
Satish Narayana Srirama

Ch 2 Edge Devices: A Survey, Use Cases and Future Challenges
Cosmin Avasalcai

Ch 3 Deep Learning in the Era of Edge Computing: Opportunities and Challenges
Mi Zhang

Ch 4 Caching, Security, and Mobility in Content Centric Networking
Osman Khalid

Ch 5 Security and Privacy Issues in Fog Computing
Hasan Ali Khattak

Ch 6 How Fog Computing Can Support Latency/Reliability-sensitive IoT Applications: An Overview and a Taxonomy of State-of-the-Art Solutions
Sajal Das

Ch 7 Harnessing the Computing Continuum for Programming Our World
Jack Dongara

Ch 8 Fog Computing for Energy Harvesting-Enabled Internet of Things
George K. Karagiannidis

Ch 9 Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control
Delaram Amiri

Ch 10 Latency Minimization Through Optimal Data Placement in Fog Computing
Ning Wang

Ch 11 Modeling and Simulation of Distributed Fog Environment using FogNetSim++
Asad W. Malik

Part II: Fog Computing Techniques and Application

Ch 12 Distributed Machine Learning for IoT applications in the Fog
Flavia Delicato

Ch 13 Fog Computing based Communication Systems for Modern Smart Grids
Mirjana Maksimovic

Ch 14 An Estimation of Distribution Algorithm to Optimize the Utility of Task Scheduling under Fog Computing System
Chu-ge Wu

Ch 15 Reliable and Power-Efficient Machine Learning in Wearable Sensors
Parastoo Alinia

Ch 16 Insights into Software Defined Networking and Applications in Fog Computing
Osman Khalid

Ch 17 Time-Critical Fog Computing for Vehicular Networks
Neeraj Suri, Chebaane Ahmed

Ch 18 A Reliable and Efficient Fog-based Architecture for Autonomous Vehicular Networks
Shuja Mughal

Ch 19 Fog Computing to enable Geospatial Video Analytics for Disaster-incident Situational Awareness
Prasad Calyam

Ch 20 An Insight into 5G Networks with Fog Computing
Osman Khalid

Ch 21 Fog Computing for Bioinformatics Problems
Usman Habib
ASSAD ABBAS, PhD, is an Assistant Professor in the Department of Computer Science, COMSATS University Islamabad Pakistan. He is also the Area Editor for EAI Transactions on Energy Web, and a member of IEEE and IEEE-Eta Kappa Nu (IEEE-HKN).

SAMEE U. KHAN, PhD, is the Lead Program Director (Cluster Lead) for the Computer Systems Research at the National Science Foundation. He also is an Assistant Professor at the North Dakota State University, Fargo, ND, USA, and is on the editorial boards of several leading journals.

ALBERT Y. ZOMAYA, PhD, is the Chair Professor of High Performance Computing & Networking in the School of Information Technologies, The University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing.

A. Y. Zomaya, University of Western Australia