Abstract: With the rapid development of the Internet industry and the advent of the 5G era, the demand for high-performance servers and storage devices is increasing. However, at the same time, the requirement for power consumption optimization is also increasing. A control strategy based on predictive thermal dissipation for server power optimization is proposed. Firstly, the maximum temperature of the device is obtained. It is set as a reference point after it is compared with the temperature threshold. The temperature trend is predicted by evaluating the current change at the reference point. Then, a corresponding control signal is sent to adjust the fan speed in order to achieve the purpose of power optimization. Finally, an experimental system was built up. For the power optimization problem of the system, three sets of experiments (the same duty cycle in different periods, different duty cycles in the same period, and different temperatures) are designed to verify the proposed control strategy. The experimental results show that the control strategy can effectively reduce the devices’ power consumption.

Key words: high-performance server, storage, predictive, power consumption optimization