Theory and Practice
Wiley Series on Parallel and Distributed Computing
1. Edition May 2020
608 Pages, Hardcover
Wiley & Sons Ltd
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.
Ch 1 Mobile Fog Computing: Architectures, Approaches and Open Challenges
Satish Narayana Srirama
Ch 2 Edge Devices: A Survey, Use Cases and Future Challenges
Ch 3 Deep Learning in the Era of Edge Computing: Opportunities and Challenges
Ch 4 Caching, Security, and Mobility in Content Centric Networking
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
Ch 7 Harnessing the Computing Continuum for Programming Our World
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
Ch 10 Latency Minimization Through Optimal Data Placement in Fog Computing
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
Ch 13 Fog Computing based Communication Systems for Modern Smart Grids
Ch 14 An Estimation of Distribution Algorithm to Optimize the Utility of Task Scheduling under Fog Computing System
Ch 15 Reliable and Power-Efficient Machine Learning in Wearable Sensors
Ch 16 Insights into Software Defined Networking and Applications in Fog Computing
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
Ch 19 Fog Computing to enable Geospatial Video Analytics for Disaster-incident Situational Awareness
Ch 20 An Insight into 5G Networks with Fog Computing
Ch 21 Fog Computing for Bioinformatics Problems
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.