Fog Computing: Theory and Practice

Fog Computing: Theory and Practice
  • eBook:
    Fog Computing: Theory and Practice
  • Author:
    Assad Abbas, Samee U. Khan, Albert Y. Zomaya
  • Edition:
    1 edition
  • Categories:
  • Data:
    April 21, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    608 pages
  • Format:
    PDF, ePUB

Book Description
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
1. Mobile Fog Computing
2. Edge and Fog: A Survey, Use Cases, and Future Challenges
3. Deep Learning in the Era of Edge Computing: Challenges and Opportunities
4. Caching, Security, and Mobility in Content-centric Networking
5. Security and Privacy Issues in Fog Computing
6. How Fog Computing Can Support Latency/Reliability-sensitive IoT Applications: An Overview and a Taxonomy of State-of-the-art Solutions
7. Harnessing the Computing Continuum for Programming Our World
8. Fog Computing for Energy Harvesting-enabled Internet of Things
9. Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control
10. Latency Minimization Through Optimal Data Placement in Fog Networks
11. Modeling and Simulation of Distributed Fog Environment Using FogNetSim++

Part II - Fog Computing Techniques and Applications
12. Distributed Machine Learning for IoT Applications in the Fog
13. Fog Computing-Based Communication Systems for Modern Smart Grids
14. An Estimation of Distribution Algorithm to Optimize the Utility of Task Scheduling Under Fog Computing Systems
15. Reliable and Power-Efficient Machine Learning in Wearable Sensors
16. Insights into Software-Defined Networking and Applications in Fog Computing
17. Time-Critical Fog Computing for Vehicular Networks
18. A Reliable and Efficient Fog-Based Architecture for Autonomous Vehicular Networks
19. Fog Computing to Enable Geospatial Video Analytics for Disaster-incident Situational Awareness
20. An Insight into 5G Networks with Fog Computing
21. Fog Computing for Bioinformatics Applications

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