A Novel DPM Algorithm Based on the Hurst Probability

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.