MagicScaler: Achieving High QoS and Low Cost with Uncertainty‑Aware Autoscaling
The MagicScaler framework, introduced by Alibaba Cloud’s big‑data engineering team and collaborators, combines a multi‑scale attention Gaussian process predictor with an uncertainty‑aware elastic scaling decision engine, delivering significantly higher quality‑of‑service and lower operational costs than traditional autoscaling methods, as demonstrated on real MaxCompute workloads.
