Energy-optimal dynamic voltage scaling for sporadic tasks

Reducing power consumption is a challenge to system designers. Dynamic power management (DPM) and dynamic voltage scaling (DVS) have emerged as efficient solutions to reduce the power consumption of embedded and portable systems. This paper proposes an online dynamic voltage scaling policy expressed as energy-optimal sporadic task scheduling (EOSTS) for sporadic tasks. EOSTS differs from other existing DVS policies in the fact that the former essentially consists of an energy-optimal model, based on strict theorems proving. Four theorems are proposed in this paper altogether, which is helpful to power management policy optimization research. Experimental results demonstrate that EOSTS policy is superior in power saving to general DPM policies