Dynamic voltage and frequency scaling for optimal real-time scheduling on multiprocessors
Kenji Funaoka, Akira Takeda, Shinpei Kato, Nobuyuki Yamasaki
Abstract
Kenji Funaoka, Akira Takeda, Shinpei Kato, Nobuyuki Yamasaki
Abstract
Not only system performance but also energy efficiency is critically important for embedded systems. Optimal real-time scheduling is effective to not only schedulability improvement but also energy efficiency for the systems. In this paper, real-time dynamic voltage and frequency scaling (RT DVFS) techniques based on the theoretically optimal real-time static voltage and frequency scaling (RTSVFS) techniques proposed in our previous work are presented for multiprocessor systems. Simulation results show that RT-DVFS covers up the disadvantages of RT-SVFS in the sense that RTDVFS are not practically affected by the difference among systems, whereas the energy consumption of RT-SVFS highly depends on the selectable processor frequency especially in high system utilization.
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Not only system performance but also energy efficiency is critically important for embedded systems. Optimal real-time scheduling is effective to not only schedulability improvement but also energy efficiency for the systems. In this paper, real-time dynamic voltage and frequency scaling (RT DVFS) techniques based on the theoretically optimal real-time static voltage and frequency scaling (RTSVFS) techniques proposed in our previous work are presented for multiprocessor systems. Simulation results show that RT-DVFS covers up the disadvantages of RT-SVFS in the sense that RTDVFS are not practically affected by the difference among systems, whereas the energy consumption of RT-SVFS highly depends on the selectable processor frequency especially in high system utilization.
Key concepts: Frequency scaling, Computer science, Dynamic voltage scaling, Multiprocessing, Scaling, Energy consumption, Voltage, Parallel computing