Quantum-based predictive fog scheduler for IoT applications

Load scheduling across distributed fog computing nodes has been a major challenge to meet the increased demand of real-time data analysis, and time-sensitive decision-making. This study presents a Quantum Computing-inspired (QCi) optimized load scheduling technique in fog computing environments for real-time IoT applications. In addition to this, QCi-Neural Network Model is used as a predictive model to determine the optimal computational node...