Example Concept: Edge processing involves deploying computational resources at or near the data source, such as sensors or gateways, to perform data analysis and processing locally. By handling tasks like data filtering, aggregation, and preliminary analysis at the edge, the system reduces the volume of data sent to the cloud, thereby decreasing network congestion and latency. This method is particularly beneficial for time-sensitive applications like industrial automation, autonomous vehicles, and smart city infrastructure, where immediate data-driven actions are necessary.