NDLI: Dynamic fault-tolerance and metrics for battery powered, failure-prone systems

Content Provider	IEEE Xplore Digital Library
Author	Stanley-Marbell, P. Marculescu, D.
Copyright Year	2003
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA (Stanley-Marbell, P.; Marculescu, D.)
Abstract	Emerging VLSI technologies and platforms are giving rise to systems with inherently high potential for runtime failure. Such failures range from intermittent electrical and mechanical failures at the system level, to device failures at the chip level. Techniques to provide reliable computation in the presence of failures must do so while maintaining high performance, with an eye toward energy efficiency. When possible, they should maximize battery lifetime in the face of battery discharge non-linearities. This paper introduces the concept of adaptive fault-tolerance management for failure-prone systems, and a classification of local algorithms for achieving system-wide reliability. In order to judge the efficacy of the proposed algorithms for dynamic fault-tolerance management, a set of metrics, for characterizing system behavior in terms of energy efficiency, reliability, computation performance and battery lifetime, is presented. For an example platform employed in a realistic evaluation scenario, it is shown that system configurations with the best performance and lifetime are not necessarily those with the best combination of performance, reliability, battery lifetime and average power consumption.
Sponsorship	IEEE IEEE Circuits and Syst. Soc. IEEE Comput. Soc. ACM Special Interest Group on Design Automation
Starting Page	633
Ending Page	640
File Size	730311
Page Count	8
File Format	PDF
ISBN	1581137621
DOI	10.1109/ICCAD.2003.159747
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-11-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Association for Computing Machinery, Inc. (ACM)
Subject Keyword	Fault tolerant systems Batteries Power system reliability Energy efficiency Very large scale integration Runtime High performance computing Maintenance Classification algorithms Heuristic algorithms
Content Type	Text
Resource Type	Article

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