Block-oriented nonlinear model based control for relative performance and resource management in virtualized software system

This paper presents an application of feedback control system for relative performance management in virtualized software system. The system dynamics are characterized in a block-oriented nonlinear system identification. The models are estimated in Hammerstein-Wiener structure. The advantage of this approach is the elimination of nonlinearity impact to the performance management by consolidating nonlinear compensators in the feedback control loop. PI controller parameters are designed based on the step response curve generated from Frequency Sampling Filter functions. The experiments conducted in a two-class of virtual machines environment have shown the control system robustness with a great performance stability in the presence of unpredictable disturbances.