Author

Shuo Wang

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Preprint Aug 2026

SLO-Scaler: Uncertainty-Aware SLO-Driven Autoscaling for Microservices

SLO-Scaler is proposed, an uncertainty-aware autoscaling framework that predicts short-horizon request rates, tail latency, and SLO violation probability using a Bayesian LSTM model, and is evaluated on the DeathStarBench Social Network benchmark deployed on Kubernetes under periodic, bursty, and long-tail traffic patt...

Shuo Wang, Xiao-Xuan Sun, Shao-yu Huang et al. · 1 citation