AI RESEARCH
ADAPT: A Self-Calibrating Proactive Autoscaler for Container Orchestration
arXiv CS.LG
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ArXi:2605.15788v1 Announce Type: cross Proactive autoscaling for containerized workloads depends on knowing the provisioning delay, i.e., the time between a scaling decision and the moment new capacity is ready to serve traffic. In practice, this cold-start duration can vary substantially across environments and even across consecutive scale-out events. We present ADAPT (Adaptive Duration Approximation for Predictive Timing), an online EWMA estimator that tracks coldstart duration at runtime.