Content distribution network for streaming using multiple galois fields

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

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文American English
主出版物標題2021 IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁數5
ISBN(電子)9781728192017
DOIs
出版狀態Published - 5月 2021
事件53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021 - Daegu, Korea, Republic of
持續時間: 22 5月 202128 5月 2021

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2021-May
ISSN(列印)0271-4310

Conference

Conference53rd IEEE International Symposium on Circuits and Systems, ISCAS 2021
國家/地區Korea, Republic of
城市Daegu
期間22/05/2128/05/21

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