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Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study

Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study

Satyakiran Munaga, Francky Catthoor
Copyright: © 2010 |Volume: 1 |Issue: 4 |Pages: 11
ISSN: 1947-9220|EISSN: 1947-9239|EISBN13: 9781613502723|DOI: 10.4018/jaras.2010100101
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MLA

Munaga, Satyakiran, and Francky Catthoor. "Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study." IJARAS vol.1, no.4 2010: pp.1-11. http://doi.org/10.4018/jaras.2010100101

APA

Munaga, S. & Catthoor, F. (2010). Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 1(4), 1-11. http://doi.org/10.4018/jaras.2010100101

Chicago

Munaga, Satyakiran, and Francky Catthoor. "Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study," International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 1, no.4: 1-11. http://doi.org/10.4018/jaras.2010100101

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Abstract

Advanced technologies such as sub-45nm CMOS and 3D integration are known to have more accelerated and increased number of reliability failure mechanisms. Classical reliability assessment methodology, which assumes ad-hoc failure criteria and worst-case for all influencing dynamic aspects, is no longer viable in these technologies. In this paper, the authors advocate that managing temperature and reliability at run-time is necessary to overcome this reliability-wall without incurring significant cost penalty. Nonlinear nature of modern systems, however, makes the run-time control very challenging. The authors suggest that full cost-consciousness requires a truly proactive controller that can efficiently manage system slack with future in perspective. This paper introduces the concept of “gas-pedal,” which enhances the effectiveness of the proactive controller in minimizing the cost without sacrificing the hard guarantees required by the constraints. Reliability-aware dynamic energy management of a processor running AVC motion compensation task is used as a motivational case study to illustrate the proposed concepts.

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