Fog Computing

This chapter introduces fog computing and its benefits. The role of fog computing in IoT environments is also discussed. It examines fog computing’s potential to support cloud computing by examining remote monitoring of rural children. A work is completed in which embedded sensors are used to track the health of children in rural areas. The data gathered is kept in the cloud, and fog computing is used to make decisions. Notification is given to the doctor if any anomalies in the children’s health are discovered. Security and privacy in fog computing are explored by discussing the challenges in securing distributed fog nodes, privacy-preserving techniques for data processing, and the role of AI in fog-based threat detection and mitigation. Workload balancing between cloud and fog layers is very crucial for real-time applications. Interoperability challenges and solutions of cloud and fog computing are also explored in the chapter. The technological challenges in fog computing, such as resource management and optimization, standardization and protocol design, and reliability and fault tolerance in decentralized networks are also discussed. Research directions are also explored in the chapter.