Optimal scheduling of QoE-aware HTTP adaptive streaming

Ray I. Chang, Yu Chi Liu, Jan Ming Ho, Yu Hsien Chu, Wei Chun Chung, Chi Jen Wu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Recently HTTP adaptive streaming (HAS) has been leading the trend in the delivery of video content over Internet. The scope of this technology describes that a video is segmented into small intervals and encoded in different qualities for adapting the variance of network bandwidth. This method allows the client adjusting the quality of the requested stream dynamically. To the best of our knowledge, most heuristic algorithms proposed for HAS run a risk of freezing in video playback and thus induce a poor Quality of Experience (QoE). Therefore, how to maintain a good user experience becomes a more challenging task for the service provider. In this paper, we propose a optimal scheduling of QoE-aware HAS method which achieves the following QoE requirements. (1) Avoiding video streaming freezing (i.e. The client buffer underflow). (2) Minimizing the initial delay before the video streaming starts playing. Testing by the video Aladdin, experimental results show that our method can find the best QoE service for HAS under various QoE requirements and resource constraints.

Original languageEnglish
Title of host publicationTENCON 2015 - 2015 IEEE Region 10 Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479986415
StatePublished - 05 01 2016
Externally publishedYes
Event35th IEEE Region 10 Conference, TENCON 2015 - Macau, Macao
Duration: 01 11 201504 11 2015

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Conference35th IEEE Region 10 Conference, TENCON 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.


  • HTTP Adaptive Streaming
  • Quality of Experience (QoE)
  • Rate adaptation algorithm


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