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A DASH-Based Peer-to-Peer VoD Streaming Scheme

  • Pingshan Liu
  • Yaqing FanEmail author
  • Kai Huang
  • Guimin Huang
Conference paper
  • 178 Downloads
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 312)

Abstract

For peer-to-peer (P2P) video-on-demand (VoD) streaming, this paper proposes a new P2P VoD scheme based on Dynamic Adaptive Streaming over HTTP (DASH), called P2P-DASH VoD scheme. The scheme takes advantage of both the scalability and low cost properties of P2P technology and the dynamic self-adaptation of DASH. In the proposed scheme, a multi-overlay architecture is constructed, and a DASH streaming rate control approach is proposed. The multi-overlay architecture integrates the power-law ring overlay structure and the Fibonacci ring overlay structure. Peers can search the target video segments based on the power-law ring overlay structure or the Fibonacci ring overlay structure according to the search distance. The integrated overlay structure can reduce the jump latency caused by VCR operations and improve the smoothness of playback. Furthermore, the DASH streaming rate control approach is proposed to combine DASH in P2P VoD Streaming. The DASH streaming rate control approach considers four adaptive factors (on-time arrival rate of segment, peer’s available buffer length, current overlay available bandwidth and current overlay upload bandwidth utilization). Through simulations, we demonstrate that the proposed P2P-DASH VoD scheme has short jump latency, high playback fluency and the satisfaction of users.

Keywords

Peer-to-peer Video-on-demand Dynamic Adaptive Streaming over HTTP (DASH) Overlay Streaming rate control Video streaming 

Notes

Acknowledgement

The research was supported by the National Natural Science Foundation (No. 61762029, No. 61662012, No. U1811264), Guangxi Natural Science Foundation (No. 2016GXNSFAA380011), Guangxi Key Laboratory of Trusted Software (No. kx201726), and the Foundation of Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education (No. CRKL150105).

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020

Authors and Affiliations

  • Pingshan Liu
    • 1
    • 2
  • Yaqing Fan
    • 2
    Email author
  • Kai Huang
    • 2
  • Guimin Huang
    • 2
  1. 1.Business SchoolGuilin University of Electronic TechnologyGuilinChina
  2. 2.Guangxi Key Laboratory of Trusted SoftwareGuilin University of Electronic TechnologyGuilinChina

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