👉 Bedding computing, also known as edge or distributed computing at the "bedside," refers to the practice of processing data closer to where it is generated, typically on or near the edge of a network, rather than relying solely on centralized cloud servers. This approach involves deploying computing resources, such as sensors, gateways, and edge devices, directly at or near the source of data generation, like IoT devices in smart homes, industrial machinery, or remote locations. By processing data locally, bedding computing reduces latency, conserves bandwidth, and enhances privacy and security since sensitive information doesn't need to be transmitted over long distances to centralized servers. This localized processing enables real-time decision-making, supports applications requiring immediate responses, and is particularly beneficial in scenarios where connectivity to the cloud is unreliable or unavailable.