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

Kanin Poobai, Suphakit Awiphan, Jiro Katto

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

    Abstract

    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.

    Original languageEnglish
    Title of host publicationProceedings of 2018 International Conference on Information Science and System, ICISS 2018
    PublisherAssociation for Computing Machinery
    Pages75-80
    Number of pages6
    ISBN (Electronic)9781450364218
    DOIs
    Publication statusPublished - 2018 Apr 27
    Event2018 International Conference on Information Science and System, ICISS 2018 - Jeju Island, Korea, Republic of
    Duration: 2018 Apr 272018 Apr 29

    Other

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

    Fingerprint

    Video streaming
    Throughput
    Bandwidth
    Packet loss
    Network architecture
    Routers

    Keywords

    • Adaptive video streaming
    • Information centric networking
    • Named data networking

    ASJC Scopus subject areas

    • Human-Computer Interaction
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Software

    Cite this

    Poobai, K., Awiphan, S., & Katto, J. (2018). Adaptive bit-rate video streaming on named data networking with active throughput estimation. In Proceedings of 2018 International Conference on Information Science and System, ICISS 2018 (pp. 75-80). Association for Computing Machinery. https://doi.org/10.1145/3209914.3209929

    Adaptive bit-rate video streaming on named data networking with active throughput estimation. / Poobai, Kanin; Awiphan, Suphakit; Katto, Jiro.

    Proceedings of 2018 International Conference on Information Science and System, ICISS 2018. Association for Computing Machinery, 2018. p. 75-80.

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

    Poobai, K, Awiphan, S & Katto, J 2018, Adaptive bit-rate video streaming on named data networking with active throughput estimation. in Proceedings of 2018 International Conference on Information Science and System, ICISS 2018. Association for Computing Machinery, pp. 75-80, 2018 International Conference on Information Science and System, ICISS 2018, Jeju Island, Korea, Republic of, 18/4/27. https://doi.org/10.1145/3209914.3209929
    Poobai K, Awiphan S, Katto J. Adaptive bit-rate video streaming on named data networking with active throughput estimation. In Proceedings of 2018 International Conference on Information Science and System, ICISS 2018. Association for Computing Machinery. 2018. p. 75-80 https://doi.org/10.1145/3209914.3209929
    Poobai, Kanin ; Awiphan, Suphakit ; Katto, Jiro. / Adaptive bit-rate video streaming on named data networking with active throughput estimation. Proceedings of 2018 International Conference on Information Science and System, ICISS 2018. Association for Computing Machinery, 2018. pp. 75-80
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