An application-level energy-efficient scheduling for dynamic voltage and frequency scaling

Power consumption in mobile devices is a critical issue with monitoring-based services. Operating systems in smartphones employ interval-based dynamic voltage scaling algorithms to reduce power consumption. To boost the effect of those algorithms, we propose an application-level scheduling algorithm which slows down the execution of the application deliberately and thus maintains low utilization rate of CPU. The experimental result shows the proposed algorithm saves up to 32% of power consumption.