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

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - Asia-Pacific Conference on Communications, APCC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ517-522
ページ数6
ISBN(電子版)9781509006762
DOI
出版ステータスPublished - 2016 10 3
イベント22nd Asia-Pacific Conference on Communications, APCC 2016 - Yogyakarta, Indonesia
継続期間: 2016 8 252016 8 27

出版物シリーズ

名前Proceedings - Asia-Pacific Conference on Communications, APCC 2016

Other

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

ASJC Scopus subject areas

  • Computer Networks and Communications

フィンガープリント 「Efficiency of QoE-driven network management in adaptive streaming over HTTP」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル