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Proceedings Paper

Dynamic resource allocation engine for cloud-based real-time video transcoding in mobile cloud computing environments
Author(s): Bada Adedayo; Qi Wang; Jose M. Alcaraz Calero; Christos Grecos
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Paper Abstract

The recent explosion in video-related Internet traffic has been driven by the widespread use of smart mobile devices, particularly smartphones with advanced cameras that are able to record high-quality videos. Although many of these devices offer the facility to record videos at different spatial and temporal resolutions, primarily with local storage considerations in mind, most users only ever use the highest quality settings. The vast majority of these devices are optimised for compressing the acquired video using a single built-in codec and have neither the computational resources nor battery reserves to transcode the video to alternative formats. This paper proposes a new low-complexity dynamic resource allocation engine for cloud-based video transcoding services that are both scalable and capable of being delivered in real-time. Firstly, through extensive experimentation, we establish resource requirement benchmarks for a wide range of transcoding tasks. The set of tasks investigated covers the most widely used input formats (encoder type, resolution, amount of motion and frame rate) associated with mobile devices and the most popular output formats derived from a comprehensive set of use cases, e.g. a mobile news reporter directly transmitting videos to the TV audience of various video format requirements, with minimal usage of resources both at the reporter’s end and at the cloud infrastructure end for transcoding services.

Paper Details

Date Published: 27 February 2015
PDF: 8 pages
Proc. SPIE 9400, Real-Time Image and Video Processing 2015, 94000O (27 February 2015); doi: 10.1117/12.2079017
Show Author Affiliations
Bada Adedayo, Univ. of the West of Scotland (United Kingdom)
Qi Wang, Univ. of the West of Scotland (United Kingdom)
Jose M. Alcaraz Calero, Univ. of the West of Scotland (United Kingdom)
Christos Grecos, Univ. of the West of Scotland (United Kingdom)


Published in SPIE Proceedings Vol. 9400:
Real-Time Image and Video Processing 2015
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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