Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices
This paper investigates the problem of minimizing energy consumption for real-time video encoding on mobile devices, by dynamically configuring the clock frequency in the CPU via the dynamic voltage scaling (DVS) technology. The problem can be formulated as a constrained optimization problem, whose...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
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2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/98544 http://hdl.handle.net/10220/13427 |
| _version_ | 1826111432558641152 |
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| author | Yang, Ming Wen, Yonggang Cai, Jianfei Foh, Chuan Heng |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Yang, Ming Wen, Yonggang Cai, Jianfei Foh, Chuan Heng |
| author_sort | Yang, Ming |
| collection | NTU |
| description | This paper investigates the problem of minimizing energy consumption for real-time video encoding on mobile devices, by dynamically configuring the clock frequency in the CPU via the dynamic voltage scaling (DVS) technology. The problem can be formulated as a constrained optimization problem, whose objective is to minimize the total energy consumption of encoding video contents while respecting a real-time delay constraint. Under a probabilistic workload model, we obtain closed-form solutions for both the optimal clock frequency configuration and the resulted minimum energy. We also compare the optimal solution with a brute force flat frequency configuration. Numerical results indicate that our derived optimal solution outperforms the brute-force approach significantly. Moreover, we apply the optimal solution for real-time H.264/AVC video encoding application. Our numerical results suggest that an energy saving of 10%-20% can be achieved, compared to the flat clock frequency scheduling. |
| first_indexed | 2024-10-01T02:50:37Z |
| format | Conference Paper |
| id | ntu-10356/98544 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:50:37Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/985442020-05-28T07:17:36Z Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices Yang, Ming Wen, Yonggang Cai, Jianfei Foh, Chuan Heng School of Computer Engineering IEEE International Conference on Communications (2012 : Ottawa, Canada) DRNTU::Engineering::Computer science and engineering This paper investigates the problem of minimizing energy consumption for real-time video encoding on mobile devices, by dynamically configuring the clock frequency in the CPU via the dynamic voltage scaling (DVS) technology. The problem can be formulated as a constrained optimization problem, whose objective is to minimize the total energy consumption of encoding video contents while respecting a real-time delay constraint. Under a probabilistic workload model, we obtain closed-form solutions for both the optimal clock frequency configuration and the resulted minimum energy. We also compare the optimal solution with a brute force flat frequency configuration. Numerical results indicate that our derived optimal solution outperforms the brute-force approach significantly. Moreover, we apply the optimal solution for real-time H.264/AVC video encoding application. Our numerical results suggest that an energy saving of 10%-20% can be achieved, compared to the flat clock frequency scheduling. 2013-09-09T08:07:30Z 2019-12-06T19:56:41Z 2013-09-09T08:07:30Z 2019-12-06T19:56:41Z 2012 2012 Conference Paper https://hdl.handle.net/10356/98544 http://hdl.handle.net/10220/13427 10.1109/ICC.2012.6364132 en © 2012 IEEE. |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Yang, Ming Wen, Yonggang Cai, Jianfei Foh, Chuan Heng Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices |
| title | Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices |
| title_full | Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices |
| title_fullStr | Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices |
| title_full_unstemmed | Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices |
| title_short | Energy minimization via dynamic voltage scaling for real-time video encoding on mobile devices |
| title_sort | energy minimization via dynamic voltage scaling for real time video encoding on mobile devices |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/98544 http://hdl.handle.net/10220/13427 |
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