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Fog Computing: Theory and Practice

Fog Computing: Theory and Practice

Top Research Book in Fog Computing: Theory and Practice

Author(s) Name:  Assad Abbas, Samee U. Khan, Albert Y. Zomaya

About the Book:

   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.

Table of Contents

  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 Suppor 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++
  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

ISBN:  978-1-119-55169-0

Publisher:  John Wiley & Sons

Year of Publication:  2020

Book Link:  Home Page Url