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Active Disturbance Rejection Control for Server Thermal Management

Authors: Qinling Zheng; Zhan Ping;

Active Disturbance Rejection Control for Server Thermal Management

Abstract

In recent year, improving server cooling efficiency has become an essential requirement in data centers. However, because the thermal dynamics of the server system has characteristics such as nonlinearity, significant inter-loop coupling, and continuously fast changing/unknown workload disturbances, this poses huge challenges to control engineers and data center architect engineers. To address the above concerns, this paper presents an active disturbance rejection control based decoupling control algorithm for flash storage systems and CPUs in a one-unit server to simultaneously improve fan power consumption efficiency and regulate the server components' temperature to avoid downgraded performance caused by overheating. In the study, a benchmark system is established based on the Samsung Mission Peak (MP) server where the thermal characteristics and existing solutions are both systematically evaluated. Performance of the design concept is proved in simulation. Experiment results show that, with the proposed control solution, temperature overshoot is greatly eliminated, temperatures are more tightly controlled and the drive throttling rate are greatly decreased. Furthermore, the proposed method is shown to be able to save up to 45% energy versus a PID controller, saves about 77% energy versus dynamic fan speed control method, and saves about 98% energy versus native fan speed control.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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