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Temperature prediction can enhance datacenter thermal management towards minimizing cooling power draw. Traditional approaches achieve this through analyzing task-temperature profiles or resistor-capacitor circuit models to predict CPU temperature. However, they are unable to capture task resource heterogeneity within multi-tenant environments and make predictions under dynamic scenarios such as virtual...
Aiming at fermenter temperature control, a novel control scheme based on least squares support vector machine (LSSVM) and model predictive control (MPC) is proposed. Existent PID control doesn't consider the model of controlled object, so it tends to bring steady-state error. So the proposed method utilizes LSSVM to obtain fermenter temperature's model and then uses it to implement MPC. The simulation...
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