HLAF: Heterogeneous-Latency Adaptive Forwarding strategy for Peer-Assisted Video Streaming in NDN

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Named Data Networking (NDN) is a promising Future Internet architecture to support efficient content distribution. Specifically, P2P may gain benefits from NDN, as NDN inherently provides a flexible forwarding plane for multi-source and multi-path communications. Existing studies in this area have proposed solutions, but these are adversely affected by link latency. This leads to illogical resource allocation and low link utilization for P2P. In this paper, we propose a new Heterogeneous-Latency Adaptive Forwarding (HLAF) strategy for peer-assisted video streaming in NDN. In peer-assisted video streaming, users (peers) proactively share the available content to others. By measuring the performance of forwarding interfaces, using both the level of congestion and the round-trip time, HLAF enables efficient P2P communication, which minimizes the latency and enhances the throughput. The experimental results show that the proposed strategy can enhance the peers' Quality of Experience (QoE).

Original languageEnglish
Title of host publication2017 IEEE Symposium on Computers and Communications, ISCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages657-662
Number of pages6
ISBN (Electronic)9781538616291
DOIs
Publication statusPublished - 1 Sep 2017
Event2017 IEEE Symposium on Computers and Communications, ISCC 2017 - Heraklion, Greece
Duration: 3 Jul 20177 Jul 2017

Publication series

NameProceedings - IEEE Symposium on Computers and Communications
ISSN (Print)1530-1346

Conference

Conference2017 IEEE Symposium on Computers and Communications, ISCC 2017
Country/TerritoryGreece
CityHeraklion
Period3/07/177/07/17

Keywords

  • Multipath Forwarding
  • Named Data Networking
  • Peer-to-Peer
  • Video Streaming

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