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In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge.
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