DocumentCode :
2523220
Title :
A Novel DPM Algorithm Based on the Hurst Probability
Author :
Pin, Tao ; Fei, Kong ; ShiQiang, Yang
Author_Institution :
Comput. Sci. & Technol. Dept., Tsinghua Univ., Beijing
fYear :
2008
fDate :
29-31 July 2008
Firstpage :
175
Lastpage :
180
Abstract :
The key problem of DPM algorithm lies in how to predict the idle period accurately, we proposed a novel Hurst parameter directed probabilistic dynamic power management algorithm that can be applied for embedded systems with multiple power states. We computed the Hurst parameter by analyzing the system workloadpsilas self similar degree. Then the Hurst parameter was used to decide the next idle period lengthpsilas probability density, which was be used to compute the timeout values that used for controlling power states. Experimental results showed that the Hurst probability based dynamic power management algorithms could save about 80% energy on the HP hard disk data sets in comparison with the classical method based on probability histogram.
Keywords :
power aware computing; probability; Hurst parameter; Hurst probability; dynamic power management algorithm; embedded system; idle period prediction; workload analysis; Embedded computing; Energy consumption; Energy management; Heuristic algorithms; Histograms; Power system management; Probability distribution; Software algorithms; Stochastic processes; Uncertainty; DPM; Hurst Probbility;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Software and Systems, 2008. ICESS '08. International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-0-7695-3287-5
Type :
conf
DOI :
10.1109/ICESS.2008.67
Filename :
4595555
Link To Document :
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