Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15782
Title: Energy minimization with soft real-time and DVS for uniprocessor and multiprocessor embedded systems
Authors: Qiu, M
Xue, C
Shao, Z 
Sha, E
Keywords: Embedded systems
Minimisation
Multiprocessing systems
Power aware computing
Issue Date: 2007
Publisher: IEEE
Source: DATE '07 Design, Automation & Test in Europe Conference & Exhibition, 2007, 16-20 April 2007, Nice, p. 1-6 (CD-ROM) How to cite?
Abstract: Energy-saving is extremely important in real-time embedded systems. Dynamic voltage scaling (DVS) is one of the prime techniques used to achieve energy-saving. Due to the uncertainties in execution times of some tasks of systems, this paper models each varied execution time as a random variable. By using probabilistic approach, we propose two optimal algorithms, one for uniprocessor and one for multiprocessor to explore soft real-time embedded systems and avoid over-designing them. Our goal is to minimize the expected total energy consumption while satisfying the timing constraint with a guaranteed confidence probability. The solutions can be applied to both hard and soft real-time systems. The experimental results show that our approach achieves significant energy-saving than previous work
URI: http://hdl.handle.net/10397/15782
ISBN: 978-3-9810801-2-4
DOI: 10.1109/DATE.2007.364537
Appears in Collections:Conference Paper

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