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Dynamic resource allocation engine for cloud-based real-time video transcoding in mobile cloud computing environments

Adedayo, Bada, Wang, Qi, Alcaraz-Calero, Jose M. and Grecos, Christos (2015) Dynamic resource allocation engine for cloud-based real-time video transcoding in mobile cloud computing environments. Proceedings of SPIE - The International Society for Optical Engineering, 9400. 94000O. ISSN 0277-786X

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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.

Item Type: Article
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science

Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software

T Technology > T Technology (General) > Information Technology > Cloud computing
Divisions: School of Computing > Staff Research and Publications
Depositing User: CAOIMHE NI MHAICIN
Date Deposited: 28 Feb 2019 14:35
Last Modified: 28 Feb 2019 14:35
URI: http://trap.ncirl.ie/id/eprint/3614

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