Retraining AI/ML models on fixed thresholds or periodic schedules leads to SLA violations or unnecessary computational costs. Our predictive method adapts to real-time traffic changes, using LSTM and LOF to retrain only when needed—cutting violations by 40%.
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🌟 Full paper in: https://zenodo.org/records/11045683