Low latency internet livestreaming in named data networking

Teng Liang, Yang Zhang, Beichuan Zhang, Weizhe Zhang, Yu Zhang

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

2 Scopus citations

Abstract

Low Latency HTTP Live Streaming (LL-HLS) is a receiver-driven adaptive bitrate Internet streaming protocol, with five low-latency extensions added to HLS. On top of previous HLS/NDN translation work, we investigate NDNizing LL-HLS. Specifically, we design the translation of the five extensions. One lesson learned is that to achieve low-latency real-time communication in NDN is to hold requests until the response is generated at data producer, hence achieving immediate response transmission. On implementing three of the five extensions on top of the HLS/NDN translation work, low-latency livestreaming system is able to run over NDN with the average point of capture to playback latency decreased from 26.7 to 3.5 seconds.

Original languageEnglish (US)
Title of host publicationICN 2022 - Proceedings of the 2022 9th ACM Conference on Information-Centric Networking
PublisherAssociation for Computing Machinery, Inc
Pages177-179
Number of pages3
ISBN (Electronic)9781450392570
DOIs
StatePublished - Sep 6 2022
Event9th ACM Conference on Information-Centric Networking, ICN 2022 - Osaka, Japan
Duration: Sep 19 2022Sep 21 2022

Publication series

NameICN 2022 - Proceedings of the 2022 9th ACM Conference on Information-Centric Networking

Conference

Conference9th ACM Conference on Information-Centric Networking, ICN 2022
Country/TerritoryJapan
CityOsaka
Period9/19/229/21/22

Keywords

  • LL-HLS
  • NDNizing applications
  • internet livestreaming
  • low-latency livestreaming
  • named data networking (NDN)
  • network measurement
  • protocol translation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Low latency internet livestreaming in named data networking'. Together they form a unique fingerprint.

Cite this