Fast, flexible, cycle-accurate energy estimation
ISLPED '01 Proceedings of the 2001 international symposium on Low power electronics and design
Battery lifetime prediction for energy-aware computing
Proceedings of the 2002 international symposium on Low power electronics and design
Dynamic Fault-Tolerance and Metrics for Battery Powered, Failure-Prone Systems
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Scaling into Ambient Intelligence
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
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Dynamic fault-tolerance management (DFTM) was previously introduced as a means of providing environment and workload-driven adaptation for failure-prone battery powered systems.This paper introduces and analyzes the role of local decision policies in a DFTM environment, and presents a precise formulation for when it is beneficial to activate a givenDFTM algorithm with respect to metrics that combine performance, reliability, power consumption and battery life. In particular, local decision algorithms are described in the context of an imaging array application running on a network of resource-constrained processing elements. It is demonstrated that DFTM algorithms, in conjunction with appropriately chosen activation times, increase the mean computation before battery failure for a single battery, by a factor between 1.1 to 5.8, for the application investigated.