Video streaming energy consumption analysis for content adaptation decision-taking
Over recent years, rapid growth of smartphone technology and capabilities makes it an important tool in our daily activities. Despite increasing processing power and capabilities as well as decreasing price, these consumer smartphones are still limited in term of batteries capacity. The heterogeneit...
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| Format: | Article |
| Language: | English |
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Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
2017
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| Online Access: | http://eprints.uthm.edu.my/5114/1/AJ%202017%20%28268%29%20Video%20streaming%20energy%20consumption.pdf |
| _version_ | 1825709966755889152 |
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| author | Ismail, Mohd Norasri Md. Fudzee, Mohd Farhan Ibrahim, Rosziati Jofri, Muhammad Hanif |
| author_facet | Ismail, Mohd Norasri Md. Fudzee, Mohd Farhan Ibrahim, Rosziati Jofri, Muhammad Hanif |
| author_sort | Ismail, Mohd Norasri |
| collection | UTHM |
| description | Over recent years, rapid growth of smartphone technology and capabilities makes it an important tool in our daily activities. Despite increasing processing power and capabilities as well as decreasing price, these consumer smartphones are still limited in term of batteries capacity. The heterogeneity properties of these devices, subscribed network as well as its users also lead to mismatch problem. Usage in power-hungry multimedia applications such as streaming video players and 3D games, the limited battery capacity motivates smartphone energy aware content adaptation research to address these problems. This paper present experiments of energy consumption of video streaming in various video encoding properties as well as different network scenarios. The result of the experiments shows that energy savings up to 40% can be achieved by using different encoding property. |
| first_indexed | 2024-03-05T21:50:26Z |
| format | Article |
| id | uthm.eprints-5114 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:50:26Z |
| publishDate | 2017 |
| publisher | Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) |
| record_format | dspace |
| spelling | uthm.eprints-51142022-01-05T08:43:22Z http://eprints.uthm.edu.my/5114/ Video streaming energy consumption analysis for content adaptation decision-taking Ismail, Mohd Norasri Md. Fudzee, Mohd Farhan Ibrahim, Rosziati Jofri, Muhammad Hanif QA75 Electronic computers. Computer science TK3001-3521 Distribution or transmission of electric power Over recent years, rapid growth of smartphone technology and capabilities makes it an important tool in our daily activities. Despite increasing processing power and capabilities as well as decreasing price, these consumer smartphones are still limited in term of batteries capacity. The heterogeneity properties of these devices, subscribed network as well as its users also lead to mismatch problem. Usage in power-hungry multimedia applications such as streaming video players and 3D games, the limited battery capacity motivates smartphone energy aware content adaptation research to address these problems. This paper present experiments of energy consumption of video streaming in various video encoding properties as well as different network scenarios. The result of the experiments shows that energy savings up to 40% can be achieved by using different encoding property. Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2017 Article PeerReviewed text en http://eprints.uthm.edu.my/5114/1/AJ%202017%20%28268%29%20Video%20streaming%20energy%20consumption.pdf Ismail, Mohd Norasri and Md. Fudzee, Mohd Farhan and Ibrahim, Rosziati and Jofri, Muhammad Hanif (2017) Video streaming energy consumption analysis for content adaptation decision-taking. Journal of Telecommunication, Electronic and Computer Engineering, 9 (2-4). pp. 143-147. ISSN 2289-8131 |
| spellingShingle | QA75 Electronic computers. Computer science TK3001-3521 Distribution or transmission of electric power Ismail, Mohd Norasri Md. Fudzee, Mohd Farhan Ibrahim, Rosziati Jofri, Muhammad Hanif Video streaming energy consumption analysis for content adaptation decision-taking |
| title | Video streaming energy consumption analysis for content adaptation decision-taking |
| title_full | Video streaming energy consumption analysis for content adaptation decision-taking |
| title_fullStr | Video streaming energy consumption analysis for content adaptation decision-taking |
| title_full_unstemmed | Video streaming energy consumption analysis for content adaptation decision-taking |
| title_short | Video streaming energy consumption analysis for content adaptation decision-taking |
| title_sort | video streaming energy consumption analysis for content adaptation decision taking |
| topic | QA75 Electronic computers. Computer science TK3001-3521 Distribution or transmission of electric power |
| url | http://eprints.uthm.edu.my/5114/1/AJ%202017%20%28268%29%20Video%20streaming%20energy%20consumption.pdf |
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