Cyber physical systems (CPS) integrates computing, modern networks, and physical processes together to offer smart services to end users. Many such existing systems are based on cloud computing architectures. In such situations, edge computing is needed to access data center clouds for every user request to avoid hampering quality of service. Edge-based CPS is more efficient because it reduces remote access to centralized cloud systems by localizing data and services near the end user’s location. Use of AI makes such systems smarter, and understanding intelligent edge-based CPS is important for building and deploying such systems.

Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. It presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. The book also describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues. The book also features practical use cases of edge-computing which will help readers to understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.