Fog Computing
Fog computing is a decentralized computing architecture that extends cloud computing to the edge of the network, bringing data processing, storage, and applications closer to end-users and IoT devices. It acts as an intermediate layer between cloud data centers and edge devices, reducing latency, bandwidth usage, and improving real-time data processing. This paradigm is particularly useful for applications requiring low-latency responses, such as autonomous vehicles, smart cities, and industrial IoT.
Developers should learn fog computing when building applications that require real-time data processing, low latency, or operate in bandwidth-constrained environments, such as IoT systems, industrial automation, or healthcare monitoring. It's essential for scenarios where sending all data to the cloud is impractical due to latency, cost, or privacy concerns, enabling localized decision-making and efficient data management. Use cases include smart grids, connected vehicles, and remote surveillance systems.