Analysis and elimination of noise-induced temperature error in processor thermal control

Processor thermal control in real-time systems is crucial because overheated processors may result in critical performance degradation or even system failure. The main challenges in processor thermal control in real-time systems are as follows: (i) the need to satisfy both real-time and thermal cons...

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Bibliographic Details
Published inReal-time systems Vol. 56; no. 1; pp. 1 - 27
Main Authors Kim, Dohwan, Lee, Juseung, Park, Kyung-Joon, Eun, Yongsoon, Son, Sang Hyuk, Lu, Chenyang
Format Journal Article
LanguageEnglish
Published New York Springer US 2020
Springer Nature B.V
Subjects
Communications Engineering
Computer Science
Computer Systems Organization and Communication Networks
Control
Control systems
Mechatronics
Microprocessors
Networks
Noise
Performance and Reliability
Performance degradation
Real time
Robotics
Sensors
Special Purpose and Application-Based Systems
Steady state
System dynamics
Measurement noise
Stochastic averaging theory
Real-time systems
Processor thermal control
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Summary:Processor thermal control in real-time systems is crucial because overheated processors may result in critical performance degradation or even system failure. The main challenges in processor thermal control in real-time systems are as follows: (i) the need to satisfy both real-time and thermal constraints; (ii) uncertain system dynamics; and (iii) thermal sensor noise. The first two issues have been resolved in substantial studies while the issue of sensor noise has not been thoroughly addressed. In this paper, we experimentally identify that even a small zero-mean sensor noise can induce a significant steady-state error in processor thermal control. This steady-state temperature error is contrary to the intuition that zero-mean sensor noise normally induces zero-mean fluctuations around the target temperature. We rigorously analyze the phenomenon based on the stochastic averaging theory and quantify the error in a closed form in terms of noise statistics and system parameters. We propose a thermal control architecture for effectively eliminating the thermal error and tightly controlling the processor temperature. Through extensive experiments, we validate the proposed architecture.
ISSN:0922-6443
1573-1383
DOI:10.1007/s11241-019-09342-y