基于预防性散热的服务器功耗优化方法研究

Server power optimization based on predictive thermal dissipation

随着互联网行业的高速发展和5G时代的到来,对于高性能服务器和存储设备的需求越来越大,但同时对于设备功耗优化的要求也越来越高。提出了一种基于预防性散热的功耗优化控制策略对服务器的功耗进行优化。首先获取设备的最高温度,与温度阈值比较后设为参考点,通过评估参考点的电流变化来预测温度变化的趋势,随后发出相对应的控制信号来预先调节风扇转速,达到功耗优化的目的。搭建了实验系统,并针对系统的功耗优化问题,设计不同周期相同占空比、相同周期不同占空比以及不同温度3组实验来对所提控制策略进行验证,实验结果表明所提出的控制策略可以有效地降低设备功耗。

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.