Idle expectation table based prediction policy of dynamic power management
BU Ai-guo · Journal of Circuits and Systems · 2007
System-level dynamic power management (DPM) techniques observe the status and workload of the system,and dynamically reconfigure the system to reduce power consumption. This paper puts forward a novel prediction policy for DPM based on IET (Idle Expectation Table),named IETBP (Idle Expectation Table Based Prediction),which analyzes the distribution of the idle and the power consumption for mission prediction,and predicts with the expectation of the idle. IETBP resolves the problem of PBALT (Probability Based Adaptive Learning Tree) policy that high hit ratio cannot bring low power consumption,and descend the complexity. The simulation experiments show that IETBP consumes lower power than PBALT with low hit ratio.