EconPapers    
Economics at your fingertips  
 

Comparative Analysis of Power Consumption and Resource Utilization in Open-Source and Proprietary Media Players while using Raw Videos

Afzal Ahmed, Mohammad Tariq Iqbal and Mohsin Jamil
Additional contact information
Afzal Ahmed: Memorial University of Newfoundland, Canada
Mohammad Tariq Iqbal: Memorial University of Newfoundland, Canada
Mohsin Jamil: Memorial University of Newfoundland, Canada

European Journal of Information Technologies and Computer Science, 2024, vol. 4, issue 5, 11-17

Abstract: This study evaluates and compares the power consumption and resource utilization of open-source and proprietary media players during the playback of a large raw video file. Using real-time monitoring tools like HWiNFO, key metrics such as GPU power consumption, CPU power consumption, memory usage, and CPU usage percentage were collected and analyzed. The experiment was conducted on a system powered by a 12th Gen Intel(R) Core(TM) i7-12700H processor, and the media players were tested with a 2-minute, 14-second raw video file in .MOV format. A statistical analysis using t-tests was performed to assess the significance of the differences between the two categories. The results indicated that open-source media players generally exhibit lower GPU and CPU power consumption, with a potential for saving energy. Long-term power consumption analysis further demonstrated that users could achieve significant energy savings by opting for open-source media players, making them more suitable for energy-conscious environments. These findings highlight the trade-offs between power efficiency and performance while playing raw videos.

Keywords: CPU usage; GPU; Media players; Raw videos (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/compute/article/view/10140 Abstract page (text/html)
https://eu-opensci.org/index.php/compute/article/download/10140/1876 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:comput:v:4:y:2024:i:5:id:10140

DOI: 10.24018/compute.2024.4.5.140

Access Statistics for this article

More articles in European Journal of Information Technologies and Computer Science from European Open Science
Bibliographic data for series maintained by Support Team ().

 
Page updated 2026-06-22
Handle: RePEc:epw:comput:v:4:y:2024:i:5:id:10140