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Predictive auto-scaling with OpenStack Monasca

Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

202112 citationsDOIOpen Access PDF

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
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