OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks

Ahmed H. Zahran; Jason Quinlan; Darijo Raca; Cormac J. Sreenan; Emir Halepovic; Rakesh K. Sinha; Rittwik Jana; Vijay Gopalakrishnan

doi:10.1145/2910018.2910655

OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks

Ahmed H. Zahran
, Jason Quinlan
, Darijo Raca
, Cormac J. Sreenan
, Emir Halepovic
, Rakesh K. Sinha
, Rittwik Jana
, Vijay Gopalakrishnan

School of Computer Science and Information Technology

University College Cork
AT&T

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 8th International Workshop onMobile Video, MoVid 2016
Publisher	Association for Computing Machinery, Inc
Pages	7-12
Number of pages	6
ISBN (Electronic)	9781450343572
DOIs	https://doi.org/10.1145/2910018.2910655
Publication status	Published - 10 May 2016
Event	8th ACM Workshop on Mobile Video, MoVid 2016 - Klagenfurt, Austria Duration: 13 May 2016 → …

Publication series

Name	Proceedings of the 8th International Workshop onMobile Video, MoVid 2016

Conference

Conference	8th ACM Workshop on Mobile Video, MoVid 2016
Country/Territory	Austria
City	Klagenfurt
Period	13/05/16 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

DASH
HTTP adaptive video streaming
Mobile networks
Optimization

Access to Document

10.1145/2910018.2910655

Cite this

Zahran, A. H., Quinlan, J., Raca, D., Sreenan, C. J., Halepovic, E., Sinha, R. K., Jana, R., & Gopalakrishnan, V. (2016). OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks. In Proceedings of the 8th International Workshop onMobile Video, MoVid 2016 (pp. 7-12). (Proceedings of the 8th International Workshop onMobile Video, MoVid 2016). Association for Computing Machinery, Inc. https://doi.org/10.1145/2910018.2910655

@inproceedings{d8c06994c29a4ca0b55de3a00e0eccdd,

title = "OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks",

abstract = "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.",

keywords = "DASH, HTTP adaptive video streaming, Mobile networks, Optimization",

author = "Zahran, \{Ahmed H.\} and Jason Quinlan and Darijo Raca and Sreenan, \{Cormac J.\} and Emir Halepovic and Sinha, \{Rakesh K.\} and Rittwik Jana and Vijay Gopalakrishnan",

note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 8th ACM Workshop on Mobile Video, MoVid 2016 ; Conference date: 13-05-2016",

year = "2016",

month = may,

day = "10",

doi = "10.1145/2910018.2910655",

language = "English",

series = "Proceedings of the 8th International Workshop onMobile Video, MoVid 2016",

publisher = "Association for Computing Machinery, Inc",

pages = "7--12",

booktitle = "Proceedings of the 8th International Workshop onMobile Video, MoVid 2016",

}

Zahran, AH, Quinlan, J, Raca, D, Sreenan, CJ, Halepovic, E, Sinha, RK, Jana, R & Gopalakrishnan, V 2016, OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks. in Proceedings of the 8th International Workshop onMobile Video, MoVid 2016. Proceedings of the 8th International Workshop onMobile Video, MoVid 2016, Association for Computing Machinery, Inc, pp. 7-12, 8th ACM Workshop on Mobile Video, MoVid 2016, Klagenfurt, Austria, 13/05/16. https://doi.org/10.1145/2910018.2910655

OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks. / Zahran, Ahmed H.; Quinlan, Jason; Raca, Darijo et al.
Proceedings of the 8th International Workshop onMobile Video, MoVid 2016. Association for Computing Machinery, Inc, 2016. p. 7-12 (Proceedings of the 8th International Workshop onMobile Video, MoVid 2016).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

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T2 - 8th ACM Workshop on Mobile Video, MoVid 2016

AU - Zahran, Ahmed H.

AU - Quinlan, Jason

AU - Raca, Darijo

AU - Sreenan, Cormac J.

AU - Halepovic, Emir

AU - Sinha, Rakesh K.

AU - Jana, Rittwik

AU - Gopalakrishnan, Vijay

PY - 2016/5/10

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N2 - 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.

AB - 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.

KW - DASH

KW - HTTP adaptive video streaming

KW - Mobile networks

KW - Optimization

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Zahran AH, Quinlan J, Raca D, Sreenan CJ, Halepovic E, Sinha RK et al. OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks. In Proceedings of the 8th International Workshop onMobile Video, MoVid 2016. Association for Computing Machinery, Inc. 2016. p. 7-12. (Proceedings of the 8th International Workshop onMobile Video, MoVid 2016). doi: 10.1145/2910018.2910655

OSCAR: An optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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