Content distribution network for streaming using multiple galois fields

Tsung Kang Hung, Sachin K. Kaushal, Hsu-Feng Hsiao

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

1 Scopus citations

Abstract

In this paper, the architecture of random linear network coding based on the hybrid coding in multiple Galois field sizes is proposed. Random linear network coding is an efficient network coding approach that enables network to generate independently and randomly linear mapping between input and output symbols over finite field. With the proposed reduction method, coded symbols and coefficients in higher degree of Galois field can be converted to symbols and coefficients in GF(2) so that hybrid coding in multiple Galois field sizes can be made possible. Therefore, peers in the heterogeneous environments can all benefit from the proposed content distribution network for streaming to better utilize the network resource.

Original languageAmerican English
Title of host publication2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728192017
DOIs
StatePublished - May 2021
Event53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
Duration: 22 May 202128 May 2021

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2021-May
ISSN (Print)0271-4310

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
Country/TerritoryKorea, Republic of
CityDaegu
Period22/05/2128/05/21

Keywords

  • CDN
  • Galois field
  • Linear network coding

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