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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: © 2012 |Pages: 11
ISBN13: 9781466602557|ISBN10: 1466602554|EISBN13: 9781466602564
DOI: 10.4018/978-1-4666-0255-7.ch013
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MLA

Munaga, Satyakiran, and Francky Catthoor. "Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study." Technological Innovations in Adaptive and Dependable Systems: Advancing Models and Concepts, edited by Vincenzo De Florio, IGI Global, 2012, pp. 215-225. https://doi.org/10.4018/978-1-4666-0255-7.ch013

APA

Munaga, S. & Catthoor, F. (2012). Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study. In V. De Florio (Ed.), Technological Innovations in Adaptive and Dependable Systems: Advancing Models and Concepts (pp. 215-225). IGI Global. https://doi.org/10.4018/978-1-4666-0255-7.ch013

Chicago

Munaga, Satyakiran, and Francky Catthoor. "Reliability-Aware Proactive Energy Management in Hard Real-Time Systems: A Motivational Case Study." In Technological Innovations in Adaptive and Dependable Systems: Advancing Models and Concepts, edited by Vincenzo De Florio, 215-225. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0255-7.ch013

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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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