👉 Riverside computing is an innovative approach to data processing and storage that leverages the power of edge devices, such as smartphones, IoT sensors, and other networked devices located near data sources, like riversides. These edge devices perform initial data processing and analysis locally, reducing the need to transmit large volumes of raw data to centralized cloud servers. This strategy minimizes latency, conserves bandwidth, and enhances privacy by keeping sensitive data closer to its origin. The processed data is then securely transmitted to the cloud for further analysis, storage, and long-term retention. This decentralized architecture enables real-time decision-making, efficient resource utilization, and improved scalability, making it particularly suitable for applications requiring immediate insights and low-latency responses, such as smart cities, industrial IoT, and environmental monitoring.
