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April 1, 2000ACM Transactions on Design Automation of Electronic Systems249 citationsOpen Access

A predictive system shutdown method for energy saving of event-driven computation

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CHChi-Hong HwangAWAllen C.-H. Wu

Key Points

  • The aim is to develop a predictive system shutdown method to enhance energy savings in event-driven applications.
  • Employ an exponential-average approach to forecast idle periods.
  • Introduce prediction-miss correction and prewake-up mechanisms to enhance hit ratios.
  • Test on four different event-driven applications.
  • Achieved high hit ratios across various delay overheads.
  • Resulted in significant energy savings with minimal delay penalties.
  • Demonstrated effectiveness of predictive shutdown method compared to traditional energy management.

Abstract

This paper presents a system-level power management technique for energy savings of event-driven application. We present a new predictive system-shutdown method to exploit sleep mode operations for energy saving. We use an exponential-average approach to predict the upcoming idle period. We introduce two mechanisms, prediction-miss correction and prewake-up, to improve the hit ratio and to reduce the delay overhead. Experiments on four different event-driven applications show that our proposed method achieves high hit ratios in a wide range of delay overheads, which results in a high degree of energy with low delay penaties.

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Cite This Study

Hwang et al. (2000) studied this question.

synapsesocial.com/papers/6a11e2e55a604c357c21bdfdhttps://doi.org/10.1145/335043.335046
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