Improving resource elasticity in cloud computing thanks to model-free control
For cloud computing practitioners, it offers a better resource elasticity method that is easy to implement.
The paper applies model-free control to horizontal elasticity in cloud computing, outperforming commercial Auto-Scaling algorithms on AWS under sharp workload fluctuations.
In cloud computing management, the dynamic adaptation of computing resource allocations under time-varying workload is an active domain of investigation. Several control strategies were already proposed. Here the model-free control setting and the corresponding "intelligent" controllers, which are most successful in many concrete engineering situations, are employed for the "horizontal elasticity." When compared to the commercial "Auto-Scaling" algorithms, our easily implementable approach, behaves better even with sharp workload fluctuations. This is confirmed by experiments on Amazon Web Services (AWS).