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Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications

Cited 10 time in Web of Science Cited 12 time in Scopus
Authors
Lee, Jae-Beom; Kim, Myoung-Jin; Yoon, Sungroh; Chung, Eui-Young
Issue Date
2012-09
Publisher
IEEE COMPUTER SOC
Citation
IEEE TRANSACTIONS ON COMPUTERS Vol.61 No.9, pp. 1256-1269
Keywords
공학Dynamic voltage and frequency scalingfeedback controllow energysequential Monte Carloparticle filter
Abstract
Dynamic Voltage and Frequency Scaling (DVFS) is an effective low-power technique for real-time workloads. Its effectiveness critically depends on the accurate prediction of the task execution time. Many DVFS approaches have been proposed, but they are insufficient for highly nonstationary workloads. Several recent DVFS techniques adopted adaptive filters to improve accuracy. However, their improvement was rather limited, since they mainly focused on applying a filter framework to the target application without tuning it. We address this issue by proposing Particle Filter (PF)-based video decoders (MPEG2 and H.264) which exploit application-specific characteristics. More specifically, our PF-based video decoders utilize the size of each frame for the prediction of its decoding time. Compared to previous work, the PF is more suitable for our purpose, since it achieves higher prediction accuracy, even for highly nonstationary workloads such as H.264 clips. Our results show that the energy saved by the proposed approach is comparable to that of the ideal policy called oracle-DVFS, while the existing methods we tested were far inferior to oracle-DVFS in terms of H.264 video decoding. Additionally, when our method was used, only 0.40 and 6.88 percent of the frames missed their deadlines with negligible computational overhead for MPEG and H.264, respectively.
ISSN
0018-9340
Language
English
URI
https://hdl.handle.net/10371/79888
DOI
https://doi.org/10.1109/TC.2011.148
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Electrical and Computer Engineering (전기·정보공학부)Journal Papers (저널논문_전기·정보공학부)
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