Enhancement of LL and SDM in Case of SMO via FC

Time is critical in making quick decisions in this era of universal, real-time data creation. Traditional cloud-centric architectures have high latencies and network congestion, which do not allow one to provide quick responses. The paper presents an innovative application of the fog computing paradigm in real-time data processing, with a special focus on scenarios where timely reactions are necessary. In the proposed approach, data processing happens at the fog layer close to the source, thereby reducing latency and network usage. This will show, once again, that fog computing is a bridge for real-time data handling, hence providing fast decision-making, optimization of resources, and creating environmentally friendly and more adaptive services.