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HAPPE: Human and Application-Driven Frequency Scaling for Processor Power Efficiency
Aug. 2013 (vol. 12 no. 8)
pp. 1546-1557
Lei Yang, Google, Mountain View
Robert P. Dick, University of Michigan, Ann Arbor
Gokhan Memik, Northwestern University, Evanston
Peter Dinda, Northwestern University, Evanston
Conventional dynamic voltage and frequency scaling techniques use high CPU utilization as a predictor for user dissatisfaction, to which they react by increasing CPU frequency. In this paper, we demonstrate that for many interactive applications, perceived performance is highly dependent upon the particular user and application, and is not linearly related to CPU utilization. This observation reveals an opportunity for reducing power consumption. We propose Human and Application driven frequency scaling for Processor Power Efficiency (HAPPE), an adaptive user-and-application-aware dynamic CPU frequency scaling technique. HAPPE continuously adapts processor frequency and voltage to the learned performance requirement of the current user and application. Adaptation to user requirements is quick and requires minimal effort from the user (typically a handful of key strokes). Once the system has adapted to the user's performance requirements, the user is not required to provide continued feedback but is permitted to provide additional feedback to adjust the control policy to changes in preferences. HAPPE was implemented on a Linux-based laptop and evaluated in 22 hours of controlled user studies. Compared to the default Linux CPU frequency controller, HAPPE reduces the measured system-wide power consumption of CPU-intensive interactive applications by 25 percent on average while maintaining user satisfaction.
Index Terms:
Linux,Training,Frequency measurement,Power demand,Portable computers,Monitoring,Presses,mobile systems,Power,CPU frequency scaling,user-driven study
Citation:
Lei Yang, Robert P. Dick, Gokhan Memik, Peter Dinda, "HAPPE: Human and Application-Driven Frequency Scaling for Processor Power Efficiency," IEEE Transactions on Mobile Computing, vol. 12, no. 8, pp. 1546-1557, Aug. 2013, doi:10.1109/TMC.2012.129
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