Title
Generalized reliability-oriented energy management for real-time embedded applications
Abstract
DVFS remains an important energy management technique for embedded systems. However, its negative impact on transient fault rates has been recently shown. In this paper, we propose the Generalized Shared Recovery (GSHR) technique to optimally use the DVFS technique in order to achieve a given reliability goal for real-time embedded applications. Our technique determines the optimal number of recoveries to deploy as well as task-level processing frequencies to minimize the energy consumption while achieving the reliability goal and meeting the timing constraints. The recoveries may be shared among tasks, improving the prospects of DVFS compared to existing reliability-aware power management frameworks. The experimental evaluation points to the close-to-optimal energy savings of our proposed technique.
Year
DOI
Venue
2011
10.1145/2024724.2024815
DAC
Keywords
Field
DocType
reliability-aware power management framework,generalized shared recovery technique,dvfs technique,power aware computing,proposed technique,real-time embedded application,close-to-optimal energy saving,real-time embedded systems,energy management,task-level processing frequencies,energy management technique,real-time embedded applications,close-to-optimal energy savings,energy consumption minimization,embedded system,dvfs,important energy management technique,energy consumption,reliability,dynamic voltage-and-frequency scaling,generalized shared recovery,reliability-aware power management frameworks,gshr,reliability goal,generalized reliability-oriented energy management,real time systems,reliability engineering,time frequency analysis
Power management,Energy management,Computer science,Embedded applications,Real-time computing,Time–frequency analysis,Transient analysis,Energy consumption minimization,Energy consumption,Embedded system
Conference
ISSN
ISBN
Citations 
0738-100x
978-1-4503-0636-2
27
PageRank 
References 
Authors
0.88
15
3
Name
Order
Citations
PageRank
Baoxian Zhao12117.69
Hakan Aydin2121861.97
Da-Kai Zhu3140566.97