👉 Closer computing refers to a distributed computing paradigm where data processing and computation occur closer to the source of data generation, rather than relying on centralized cloud servers. This approach minimizes latency and bandwidth usage by processing data locally or at the edge of the network, such as on IoT devices, edge servers, or even within end-user devices. By bringing computation closer to where data is created, closer computing enhances real-time responsiveness, improves privacy and security by reducing data transmission, and optimizes network efficiency. This paradigm is particularly beneficial for applications requiring immediate insights, such as autonomous vehicles, smart cities, and real-time analytics in industrial settings.