👉 Field computing is an approach to distributed computing that brings computational resources and services closer to the data sources, devices, or users in their immediate physical environment. Unlike traditional computing models where data is processed in centralized data centers, field computing leverages the computational power of edge devices, sensors, and IoT devices to process data locally or in nearby edge nodes. This paradigm enables real-time data processing, reduces latency, and enhances efficiency by minimizing the need to transmit large volumes of raw data over networks to distant servers. Field computing is particularly useful in scenarios requiring immediate decision-making, such as smart cities, industrial automation, environmental monitoring, and autonomous vehicles, where quick responses to dynamic conditions are crucial. By integrating computational capabilities at the edge, field computing optimizes resource utilization and supports the growing demand for data-driven applications in various industries.
