research-article

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

Authors:

Ahmed H. Zahran,

Cormac J. Sreenan,

Emir Halepovic,

Rakesh K. Sinha,

Vijay GopalakrishnanAuthors Info & Claims

MoVid '16: Proceedings of the 8th International Workshop on Mobile Video

Article No.: 2, Pages 1 - 6

https://doi.org/10.1145/2910018.2910655

Published: 10 May 2016 Publication History

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.

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Cited By

Liu KDai PLee VNg JSon SLiu KDai PLee VNg JSon S(2023)Deep Q-Learning-Based Adaptive Multimedia Streaming in Vehicular Edge IntelligenceToward Connected, Cooperative and Intelligent IoV10.1007/978-981-99-9647-6_11(227-253)Online publication date: 20-Dec-2023
https://doi.org/10.1007/978-981-99-9647-6_11
Amaral GPiscopo AKaffee LRodrigues OSimperl E(2021)Assessing the Quality of Sources in Wikidata Across Languages: A Hybrid ApproachJournal of Data and Information Quality10.1145/348482813:4(1-35)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3484828
Chen JMilner HStoica IZhan J(2021)Benchmark of Bitrate Adaptation in Video StreamingJournal of Data and Information Quality10.1145/346806313:4(1-24)Online publication date: 12-Aug-2021
https://dl.acm.org/doi/10.1145/3468063
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Index Terms

OSCAR: an optimized stall-cautious adaptive bitrate streaming algorithm for mobile networks
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia streaming

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Published In

cover image ACM Conferences

MoVid '16: Proceedings of the 8th International Workshop on Mobile Video

May 2016

35 pages

ISBN:9781450343572

DOI:10.1145/2910018

Conference Chairs:
Qi Han
Colorado School of Mines
,
Pal Halvorsen
Simula Research Lab/University of Oslo, Norway

Copyright © 2016 ACM.

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 May 2016

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Science Foundation Ireland (SFI)

Conference

MMSys'16

Sponsor:

SIGMM

MMSys'16: Multimedia Systems Conference 2016

May 10 - 13, 2016

Klagenfurt, Austria

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Overall Acceptance Rate 18 of 32 submissions, 56%

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Cited By

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https://doi.org/10.1007/978-981-99-9647-6_11
Amaral GPiscopo AKaffee LRodrigues OSimperl E(2021)Assessing the Quality of Sources in Wikidata Across Languages: A Hybrid ApproachJournal of Data and Information Quality10.1145/348482813:4(1-35)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3484828
Chen JMilner HStoica IZhan J(2021)Benchmark of Bitrate Adaptation in Video StreamingJournal of Data and Information Quality10.1145/346806313:4(1-24)Online publication date: 12-Aug-2021
https://dl.acm.org/doi/10.1145/3468063
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Dai PSong FLiu KDai YZhou PGuo S(2021)Edge Intelligence for Adaptive Multimedia Streaming in Heterogeneous Internet of VehiclesIEEE Transactions on Mobile Computing10.1109/TMC.2021.3106147(1-1)Online publication date: 2021
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