Fog computing is a decentralized computing infrastructure in which computing resources are located between the data source and the cloud or any other data centers. The word "fog" refers to its cloud-like properties, which are closer to the "ground", using edge devices that carry out locally computation, storage and communication tasks. An additional benefit is that the processed data is likely to be needed by the same devices that generated the data. By processing locally rather than remotely, the latency between input and response are minimized. This technology has countless application domains such as industrial process control, smart cities, transportation, healthcare and agriculture.

• Chapter 1: Introduction of fog computing
• Chapter 2: Fog computing in the IoT environment
• Chapter 3: Enhance quality of fog-computing environment using SDN and NFV technology
• Chapter 4: Using P2P pervasive grid improves tunneling architecture and routing scalability
• Chapter 5: Vehicular fog computing and virtualization
• Chapter 6: Smart XSS attack surveillance system for fog computing
• Chapter 7: Spectral image analysis with supervised feature extraction
• Chapter 8: Developing of fog computing using sensor data
• Chapter 9: Information sharing on mobile IoT-based content aware smart home with fog computing
• Chapter 10: Security and privacy challenges in fog computing
• Chapter 11: Fog robotics
• Chapter 12: Cybernetic intelligence in fog computing
• Chapter 13: Further application of fog computing
• Chapter 14: Future research directions