Example Concept: Edge processing involves deploying computational resources at the network's edge, near sensors and devices. By processing data locally, it reduces the time taken for data to travel to and from the cloud, thus lowering latency. This is particularly beneficial for real-time applications like autonomous vehicles, industrial automation, and smart grids, where immediate data processing is crucial for timely decision-making.