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.
