Wiley Fog Computing Theory and Practice by Assad Abbas, Samee Khan, Albert Zomaya 1119551692 9781119551690

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ISBN 10: 1119551692
ISBN 13: 978-1119551690
Author: Assad Abbas, Samee U. Khan, Albert Y. Zomaya
Wiley Fog Computing Theory and Practice 1st Edition: 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.

 

Wiley Fog Computing Theory and Practice 1st Edition Table of contents:

Part I Fog Computing Systems and Architectures 1

1 Mobile Fog Computing 3

2 Edge and Fog: A Survey, Use Cases, and Future Challenges 43

3 Deep Learning in the Era of Edge Computing: Challenges and Opportunities 67

4 Caching, Security, and Mobility in Content-centric Networking 79

5 Security and Privacy Issues in Fog Computing 105

6 How Fog Computing Can Suppor Latency/Reliability-sensitive IoT Applications: An Overview and a Taxonomy of State-of-the-art Solutions 139

7 Harnessing the Computing Continuum for Programming Our World 215

8 Fog Computing for Energy Harvesting-enabled Internet of Things 231

9 Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control 245

10 Latency Minimization Through Optimal Data Placement in Fog Networks 269

11 Modeling and Simulation of Distributed Fog Environment Using FogNetSim++ 293

Part II Fog Computing Techniques and Applications 309

12 Distributed Machine Learning for IoT Applications in the Fog 311

13 Fog Computing-Based Communication Systems for Modern Smart Grids 347

14 An Estimation of Distribution Algorithm to Optimize the Utility of Task Scheduling Under Fog Computing Systems 371

15 Reliable and Power-Efficient Machine Learning in Wearable Sensors 385

16 Insights into Software-Defined Networking and Applications in Fog Computing 411

17 Time-Critical Fog Computing for Vehicular Networks 431

18 A Reliable and Efficient Fog-Based Architecture for Autonomous Vehicular Networks 459

19 Fog Computing to Enable Geospatial Video Analytics for Disaster-incident Situational Awareness 473

20 An Insight into 5G Networks with Fog Computing 505

21 Fog Computing for Bioinformatics Applications 529

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