Predictive auto-scaling with OpenStack Monasca
Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella
Abstract
Cloud auto-scaling mechanisms are typically based on reactive automation rules that scale a cluster whenever some metric, e.g., the average CPU usage among instances, exceeds a predefined threshold. Tuning these rules becomes particularly cumbersome when scaling-up a cluster involves non-negligible times to bootstrap new instances, as it happens frequently in production cloud services.
Topics & Concepts
Computer scienceCloud computingAutomationArtificial intelligenceMachine learningArtificial neural networkScalingPerceptronData miningOperating systemMechanical engineeringGeometryMathematicsEngineeringTime Series Analysis and ForecastingData Stream Mining TechniquesAnomaly Detection Techniques and Applications