Parallel video transcoding using Hadoop MapReduce
DOI: 10.23977/jnca.2016.11002 | Downloads: 55 | Views: 3334
Mingang Chen 1, Wenjie Chen 1, Lizhi Cai 1, Zhenyu Liu 1
1 Shanghai Key Laboratory of Computer Software Testing and Evaluating, Shanghai Development Center of Computer Software Technology, Shanghai, 201620, China
Corresponding AuthorMingang Chen
Video transcoding has become a key technology for video content distribution network service. In this paper, we propose a novel MapReduce-based parallel video transcoding method. In our method, video files are stored on a shared file system to reduce the overhead of disks I/O and networks in the Hadoop MapReduce. FFmpeg is used to compute the splitting point of the video and the actual video transcoding. Experimental results show that our method can significantly reduce the time of transcoding.
KEYWORDSvideo transcoding; Hadoop; MapReduce; FFmpeg; parallel transcoding.
CITE THIS PAPER
Mingang, C. , Wenjie, C. , Zhenyu, L. and Lizhi, C. (2016) Parallel video transcoding using Hadoop MapReduce. Journal of Network Computing and Applications (2016) 1: 7-11.
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