An experimental study on the unfairness in adaptive streaming with HTTP/2 server push

Yu Wang, Chanh Minh Tran, Tho Nguyen Duc, Xiaochun Wu, Phan Xuan Tan, Eiji Kamioka

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

2 Citations (Scopus)

Abstract

Adaptive streaming over HTTP/2 has recently caught attention in the development of multimedia delivery. The server push feature of HTTP/2 enables the streaming server to send multiple video segments to the clients within a single request, therefore reducing unnecessary overheads, RTTs and energy consumption on portable devices, also empowering the use of short segment duration to improve network adaptability. However, recent researches only investigate the performance of the HTTP/2 server push under a single-client scenario. In fact, when multiple clients share a limited bottleneck bandwidth, it is highly possible that the unfairness in bitrate selection will happen due to the mismatch of the segment download state among the clients. In this paper, we hypothetically discuss various cases that a client decides its bitrate higher or lower than one another. Then, an experiment with the DASH.js player under several scenarios is provided to confirm the reliability of our hypothesis.

Original languageEnglish
Title of host publicationVSIP 2019 - Proceedings of 2019 International Conference on Video, Signal and Image Processing
PublisherAssociation for Computing Machinery
Pages94-98
Number of pages5
ISBN (Electronic)9781450371483
DOIs
Publication statusPublished - 2019 Oct 29
Event2019 International Conference on Video, Signal and Image Processing, VSIP 2019 - Wuhan, China
Duration: 2019 Oct 292019 Oct 31

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 International Conference on Video, Signal and Image Processing, VSIP 2019
Country/TerritoryChina
CityWuhan
Period19/10/2919/10/31

Keywords

  • HTTP Adaptive Streaming
  • HTTP/2
  • Unfairness

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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