Recently, emerging media services over edge-assisted vehicular-to-infrastructure (V2I) networks are widely studied. A joint design of scheduling and streaming algorithms is essential for seamless and high-quality media services. In scheduling, the algorithm is designed under the consideration of heterogeneous computing at edges. In addition, the streaming algorithm is also proposed for maximizing the time-average streaming quality maximization subject to stability. It is verified that our proposed joint scheduling and streaming algorithm achieves desired performance improvements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive and Stabilized Streaming for Edge-Assisted Connected Vehicles under Heterogeneous Computing Constraints


    Beteiligte:
    Lee, Rhoan (Autor:in) / Lee, Haemin (Autor:in) / Park, Soohyun (Autor:in) / Kim, Joongheon (Autor:in)


    Erscheinungsdatum :

    01.06.2022


    Format / Umfang :

    647867 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch