VideoCoreCluster: Energy-Efficient, Low-Cost, and Hardware-Assisted Video Transcoding System
Joint Authors
Liu, Peng
Yoon, Jongwon
Kim, Ha Ryung
Banerjee, Suman
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-05
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Video streaming is one of the killer applications in recent years.
Video transcoding plays an important role in the video streaming service to cope with the various purposes.
Specifically, content owners and publishers heavily utilize video transcoders to reconfigure source video in a variety of formats, video qualities, and bitrate to provide end users with the best possible quality of service.
In this paper, we present VideoCoreCluster, a low-cost and energy-efficient transcoder cluster that is suitable for live streaming services.
We designed and implemented real-time video transcoder cluster using cheap ($35), powerful, and energy-efficient Raspberry Pi.
The quality of transcoded video provided by VideoCoreCluster is similar to the best software-based video transcoder while consuming significantly less energy (<3 W).
We have proposed a scheduling algorithm based on priority of video stream and transcoding capacity.
Our cluster manager provides reliable and scalable streaming services, because it uses the characteristics of adaptive bitrate scheme.
We have deployed our transcoding cluster to provide IP-based TV streaming services on our university campus.
American Psychological Association (APA)
Liu, Peng& Yoon, Jongwon& Kim, Ha Ryung& Banerjee, Suman. 2018. VideoCoreCluster: Energy-Efficient, Low-Cost, and Hardware-Assisted Video Transcoding System. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216230
Modern Language Association (MLA)
Liu, Peng…[et al.]. VideoCoreCluster: Energy-Efficient, Low-Cost, and Hardware-Assisted Video Transcoding System. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1216230
American Medical Association (AMA)
Liu, Peng& Yoon, Jongwon& Kim, Ha Ryung& Banerjee, Suman. VideoCoreCluster: Energy-Efficient, Low-Cost, and Hardware-Assisted Video Transcoding System. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1216230
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216230