Edge computing is vital in embedded system applications as it processes data locally, reducing latency and improving real-time decision-making. By handling computations near the data source, edge computing minimizes dependency on cloud connectivity, ensuring faster responses and enhancing system reliability. This approach is particularly significant in time-sensitive applications like autonomous vehicles, industrial automation, and healthcare monitoring. It also reduces bandwidth usage and enhances data security by limiting data transmission. The integration of edge computing with embedded systems is shaping the future of IoT and smart devices. To explore this further, consider enrolling in an embedded system course.
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