👉 Tray computing is an innovative approach to distributed computing that leverages the collective power of edge devices, such as smartphones, smartwatches, and IoT sensors, to process data locally while still enabling seamless interaction with cloud services. Instead of sending all data to a centralized cloud server for processing, tray computing distributes computation tasks across these edge devices, which perform real-time data analysis and decision-making. This approach minimizes latency, conserves bandwidth, and enhances privacy by reducing the amount of data transmitted over networks. Tray computing systems often use a hierarchical architecture, where edge devices handle immediate tasks and communicate with the cloud for more complex operations or long-term data storage. This model is particularly useful in applications requiring low latency, such as autonomous vehicles, smart cities, and real-time health monitoring, where quick responses are crucial.
