Efficiency of QoE-driven network management in adaptive streaming over HTTP

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

HTTP adaptive streaming (HAS) technology has been widely implemented in entertainment industries. It allows users to smoothly access representations of content when the network work conditions frequently fluctuate. This mechanism not only improves the perceived quality of user but also benefits the network resource utilization. However, the frequent adaption of bit rate may cause the instability of Quality of Experience (QoE) to premium users who are willing to pay for high and stable perceived quality. Therefore, recently an appropriate network management scheme has been explored in order to control streaming behaviors with respect to the requirements of various types of users. In our previous study, a machine learning based network management system has been proposed as a relevant approach to manage QoE of HAS. In this paper, the performance of the proposed system will be clarified in dealing with a practical problem of bandwidth competition between a HAS player and other application clients.

Original languageEnglish
Title of host publicationProceedings - Asia-Pacific Conference on Communications, APCC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages517-522
Number of pages6
ISBN (Electronic)9781509006762
DOIs
Publication statusPublished - 2016 Oct 3
Event22nd Asia-Pacific Conference on Communications, APCC 2016 - Yogyakarta, Indonesia
Duration: 2016 Aug 252016 Aug 27

Publication series

NameProceedings - Asia-Pacific Conference on Communications, APCC 2016

Other

Other22nd Asia-Pacific Conference on Communications, APCC 2016
CountryIndonesia
CityYogyakarta
Period16/8/2516/8/27

Keywords

  • HAS
  • QoE
  • bandwidth competition
  • machine learning

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Tan, P. X., & Kamioka, E. (2016). Efficiency of QoE-driven network management in adaptive streaming over HTTP. In Proceedings - Asia-Pacific Conference on Communications, APCC 2016 (pp. 517-522). [7581519] (Proceedings - Asia-Pacific Conference on Communications, APCC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCC.2016.7581519