Adaptive bit-rate video streaming on named data networking with active throughput estimation

Kanin Poobai, Suphakit Awiphan, Jiro Katto

    研究成果: Conference contribution

    1 被引用数 (Scopus)

    抄録

    Named Data Networking (NDN) has been recently introduced as a new future network architecture. The end-to-end throughput estimation for adaptive bit-rate video streaming on NDN is one of the most challenging topics. Specifically, the end-to-end throughput estimation on NDN appears to be unreliable, since the provider of content is unknown to the consumer. Moreover, partial caching on NDN router's Content Store could temporarily lead to packet loss due to throughput overestimation. In this paper, we present an active Interest adaptation scheme which operates by proactively estimating the throughput in a hop-by-hop fashion. The consumer node is then assisted with the most recent available end-to-end bandwidth. Therefore, the video player can promptly adapt to the change of network condition. The implementation evaluation using NDN-JS and DASH-JS on the setup network demonstrate that our proposed solution provides better average stream bit-rate and consumes less network bandwidth than the traditional system.

    本文言語English
    ホスト出版物のタイトルProceedings of 2018 International Conference on Information Science and System, ICISS 2018
    出版社Association for Computing Machinery
    ページ75-80
    ページ数6
    ISBN(電子版)9781450364218
    DOI
    出版ステータスPublished - 2018 4 27
    イベント2018 International Conference on Information Science and System, ICISS 2018 - Jeju Island, Korea, Republic of
    継続期間: 2018 4 272018 4 29

    Other

    Other2018 International Conference on Information Science and System, ICISS 2018
    国/地域Korea, Republic of
    CityJeju Island
    Period18/4/2718/4/29

    ASJC Scopus subject areas

    • 人間とコンピュータの相互作用
    • コンピュータ ネットワークおよび通信
    • コンピュータ ビジョンおよびパターン認識
    • ソフトウェア

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