HarmonE couples a MAPE-K self-adaptation loop with MLOps to cut energy use by up to 54.5% while keeping 95% of predictive accuracy in a traffic-flow digital twin.
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HarmonE: A Self-Adaptive Approach to Architecting Sustainable MLOps
HarmonE couples a MAPE-K self-adaptation loop with MLOps to cut energy use by up to 54.5% while keeping 95% of predictive accuracy in a traffic-flow digital twin.