A stochastic model for performance and energy consumption analysis of rejuvenation and migration-enabled cloud
In the cloud computing paradigm, periodical rejuvenation serves as a preventive measure consolidates robustness and performance through refreshing cloud data-centers or machines. Another factor that influences system performance is VM migration, which transports VMs from a physical machine to another. In this work, we propose a comprehensive framework to model and evaluate performance and energy consumption of cloud-based systems with rejuvenation, migration, failure, and repair. The accuracy and correctness of the proposed model and analysis method are validated by discrete-event simulation.