Variability-Aware Duty Cycle Scheduling in Long Running Embedded Sensing Systems

Variability-Aware Duty Cycle Scheduling in Long Running Embedded Sensing Systems

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by Lucas Wanner , Rahul Balani , Sadaf Zahedi , Charwak Apte , Puneet Gupta , Mani Srivastava

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@MISC{Wanner_variability-awareduty,
    author = {Lucas Wanner and Rahul Balani and Sadaf Zahedi and Charwak Apte and Puneet Gupta and Mani Srivastava},
    title = {Variability-Aware Duty Cycle Scheduling in Long Running Embedded Sensing Systems},
    year = {}
}

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Abstract

Abstract—Instance and temperature-dependent leakage power variability is already a significant issue in contemporary embedded processors, and one which is expected to increase in importance with scaling of semiconductor technology. We measure and characterize this leakage power variability in current microprocessors, and show that variability aware duty cycle scheduling produces 7.8x improvement in sensing quality for a desired lifetime. In contrast, pessimistic estimations of power consumption leave 61 % of the energy untapped, and datasheet power specifications fail to meet required lifetimes by 15%. Finally, we introduce a duty cycle abstraction for TinyOS that allows applications to explicitly specify lifetime and minimum duty cycle requirements for individual tasks, and dynamically adjusts duty cycle rates so that overall quality of service is maximized in the presence of power variability. I.

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