DocumentCode
1713861
Title
Workload estimation f or power management effects on battery-powered embedded systems
Author
Luiz, Saulo O D ; Perkusich, Angelo ; Lima, Antonio M N
fYear
2009
Firstpage
1
Lastpage
2
Abstract
The effects of accuracy and delay of the identification of a nonstationary workload of a battery powered device using a dynamic power management technique are analyzed in this paper. The system is modeled by discrete-time Markov chains coupled to the battery model. Such model allows a rigorous mathematical formulation of the problem and to trade-off between performance and battery lifetime.
Keywords
battery management systems; embedded systems; power aware computing; power supplies to apparatus; battery lifetime; battery powered device; battery-powered embedded systems; discrete-time Markov chains; dynamic power management technique; nonstationary workload identification; workload estimation; Analytical models; Battery management systems; Delay effects; Delay estimation; Embedded system; Energy consumption; Energy management; Power system management; Power system modeling; Strontium;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2009. ICCE '09. Digest of Technical Papers International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-4701-5
Electronic_ISBN
978-1-4244-2559-4
Type
conf
DOI
10.1109/ICCE.2009.5012368
Filename
5012368
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