OSCAR: an optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks
Zahran, Ahmed H.
Quinlan, Jason J.
Sreenan, Cormac J.
Sinha, Rakesh K.
Association for Computing Machinery (ACM)
The design of an adaptive video client for mobile users is challenged by the frequent changes in operating conditions. Such conditions present a seemingly insurmountable challenge to adaptation algorithms, which may fail to find a balance between video rate, stalls, and rate-switching. In an effort to achieve the ideal balance, we design OSCAR, a novel adaptive streaming algorithm whose adaptation decisions are optimized to avoid stalls while maintaining high video quality. Our performance evaluation, using real video and channel traces from both 3G and 4G networks, shows that OSCAR achieves the highest percentage of stall-free sessions while maintaining a high quality video in comparison to the state-of-the-art algorithms.
HTTP adaptive video streaming , DASH , Optimization , Mobile networks , Multimedia streaming , Information systems
Zahran, A. H., Quinlan, J., Raca, D., Sreenan, C. J., Halepovic, E., Sinha, R. K., Jana, R. and Gopalakrishnan, V. 'OSCAR: an optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks', Proceedings of the 8th International Workshop on Mobile Video, Klagenfurt, Austria. 2910655: ACM, 1-6. doi:10.1145/2910018.2910655
© Authors | ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MoVid '16 Proceedings of the 8th International Workshop on Mobile Video, http://dx.doi.org/10.1145/2910018.2910655