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Open access Sep 2026

HARP: An Adaptive Hybrid Autoscaling Framework with Online Policy Arbitration for SLO-Aware Cloud-Native ML Inference

HARP is presented, an adaptive hybrid framework that treats the choice of control philosophy as an online decision rather than a design-time commitment and cuts SLO violations by 26.8–92.4% on three real production traces driven by a measured CPU inference profile.

Yu-Chen Luo, Zi-Han Peng, Rui Zhang · 0 citations

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