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Slow but Steady: Cap-based Client-Network Interaction for Improved Streaming Experience
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.
ATandT Labs Res, NJ USA.
2018 (English)In: 2018 IEEE/ACM 26TH INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE (IWQOS), IEEE , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Due to widespread popularity of streaming services, many streaming clients typically compete over bottleneck links for their own bandwidth share. However, in such environments, the rate adaptation algorithms used by modern streaming clients often result in instability and unfairness, which negatively affects the playback experience. In addition, mobile clients often waste bandwidth by trying to stream excessively high video bitrates. We present and evaluate a cap-based framework in which the network and clients cooperate to improve the overall Quality of Experience (QoE). First, to motivate the framework, we conduct a comprehensive study using the lab setup showing that a fixed rate cap comes with both benefits (e.g., data savings, improved stability and fairness) and drawbacks (e.g., higher startup times and slower recovery after stalls). To address the drawbacks while keeping the benefits, we then introduce and evaluate a framework that includes (i) buffer-aware rate caps in which the network temporarily boosts the rate cap of clients during video startup and under low buffer conditions, and (ii) boost-aware client-side adaptation algorithms that optimize the bitrate selection during the boost periods. Combined with information sharing between the network and clients, these mechanisms are shown to improve QoE, while reducing wasted bandwidth.

Place, publisher, year, edition, pages
IEEE , 2018.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-155954DOI: 10.1109/IWQoS.2018.8624170ISI: 000461354300048ISBN: 978-1-5386-2542-2 (print)OAI: oai:DiVA.org:liu-155954DiVA, id: diva2:1301026
Conference
26th IEEE/ACM International Symposium on Quality of Service (IWQoS)
Note

Funding Agencies|Swedish Research Council (VR); Swedish National Graduate School in Computer Science (CUGS) at Linkoping University

Available from: 2019-04-01 Created: 2019-04-01 Last updated: 2019-04-01

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf