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Dynamic voltage and frequency scaling for optimal real-time scheduling on multiprocessors

Kenji Funaoka, Akira Takeda, Shinpei Kato, Nobuyuki Yamasaki

Open publisher page 24 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 24 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Frequency scaling, Computer science, Dynamic voltage scaling, Multiprocessing, Scaling, Energy consumption, Voltage, Parallel computing

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