Cloud Cost Optimization via Kubernetes Autoscaling and ARIMA Workload Prediction

Abstract

Cloud infrastructure costs often inflate due to over-provisioning. This study integrates ARIMA workload prediction with Kubernetes Horizontal Pod Autoscaler for proactive capacity adjustment. Experiments on a production cluster show 31.5% compute cost reduction without degrading the 99.9% availability SLA.