NDLI: Adaptive configuration of cloud video transcoding

Content Provider	IEEE Xplore Digital Library
Author	Ming Yang Jianfei Cai Weiwen Zhang Yonggang Wen Chuan Heng Foh
Copyright Year	2015
Description	Author affiliation: Nanyang Technol. Univ., Singapore, Singapore (Ming Yang; Jianfei Cai; Weiwen Zhang; Yonggang Wen) \|\| Univ. of Surrey, Guildford, UK (Chuan Heng Foh)
Abstract	Cloud computing is emerging as a new paradigm which enables big data computing, including high quality media processing. However, considering the media dynamics on resource consumption and the QoS criteria, dynamically providing the cloud computing resource to meet the QoS requirements of media processing is not easy. The current cloud computing infrastructure usually employs auto-scaling to dynamically adjust the computing resource allocation, which is typically performed at relatively long time scale and cannot adapt to the dynamic changes of video arrivals or content changes at relatively short time scale. In this paper, we propose to adaptively configure the video transcoding mode to deal with the short-term transcoding QoS and computing resource mismatch problem. We formulate the problem as the one to minimize the output bit-rate with the queue stability constraint, for which we use the Lyapunov optimization framework to solve it. Simulation results show that, compared with the static configuration strategy, the proposed adaptive method achieves smooth transcoding QoS degradation when system load becomes heavier and much better transcoding delay performance.
Starting Page	1658
Ending Page	1661
File Size	376495
Page Count	4
File Format	PDF
ISBN	9781479983919
DOI	10.1109/ISCAS.2015.7168969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-24
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transcoding Delays Streaming media Servers Quality of service Bit rate Cloud computing
Content Type	Text
Resource Type	Article

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