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Research map / Architectures and efficiency / RNNs and normalization

AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes

AAAI 2023 · Architectures and efficiency › RNNs and normalization · approach: Distributed LLM inference systems · 41 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use AHPA instead of HPAKubernetes pod autoscaling · NPVR: 0.0047 -> 0.0045Helped
Use AHPA instead of HPAKubernetes pod autoscaling · WPVR: 0.3975 -> 0.0695Helped
Use AHPA instead of HPAKubernetes pod autoscaling · SPVR: 0.2950 -> 0.0266Helped
Use AHPA instead of HPAKubernetes pod autoscaling · NPCost: 19657 -> 22063Hurt
Use AHPA instead of HPAKubernetes pod autoscaling · WPCost: 447096 -> 495541Hurt
Use AHPA instead of HPAKubernetes pod autoscaling · SPCost: 77464 -> 92930Hurt
Use AHPA instead of HPAKubernetes pod autoscaling · NoisyDataVR: 0.2958 -> 0.0276Helped
Use AHPA instead of HPAKubernetes pod autoscaling · MissingDataVR: 0.2934 -> 0.0307Helped
Use AHPA instead of HPAKubernetes pod autoscaling · TrendChangeVR: 0.2950 -> 0.0266Helped
Use AHPA instead of HPAKubernetes pod autoscaling · NoisyDataCost: 77590 -> 93011Hurt
Use AHPA instead of HPAKubernetes pod autoscaling · MissingDataCost: 75966 -> 92519Hurt
Use AHPA instead of HPAKubernetes pod autoscaling · TrendChangeCost: 77464 -> 92930Hurt

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