Proactive Interest Adaptation and Content Caching for Adaptive Bit-Rate Video Streaming over NDN

Suphakit Awiphan, Kanin Poobai, Kenji Kanai, Jiro Katto

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

5 Citations (Scopus)

Abstract

Named Data Networking (NDN) has been recently introduced as a new network architecture. The implementation of adaptive bit-rate video streaming on NDN is one of the most challenging tasks. The in-network caching feature of NDN could mislead a consumer to overestimate the end-to-end throughput for the next video segment. In this paper, we propose a strategy for more efficient rate adaptation by allowing Interest message adaptation in a hop-by-hop fashion. Moreover, the proactive content caching is designed to be utilized on the related router when a bottleneck on the transmission path was detected. The experiments using NDN-JS and DASH-JS demonstrate that our proposed solution provides better average stream bit-rate than the traditional rate adaptation method. Also, the link bandwidth consumption for video data transmission using the proposed scheme could be reduced efficiently.

Original languageEnglish
Title of host publication2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-191
Number of pages5
ISBN (Print)9781538663509
DOIs
Publication statusPublished - 2018 Sept 11
Event3rd International Conference on Computer and Communication Systems, ICCCS 2018 - Nagoya, Japan
Duration: 2018 Apr 272018 Apr 30

Publication series

Name2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018

Other

Other3rd International Conference on Computer and Communication Systems, ICCCS 2018
Country/TerritoryJapan
CityNagoya
Period18/4/2718/4/30

Keywords

  • adaptive video streaming
  • named data networking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Artificial Intelligence

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