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.


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    Title :

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


    Contributors:
    Lee, Rhoan (author) / Lee, Haemin (author) / Park, Soohyun (author) / Kim, Joongheon (author)


    Publication date :

    2022-06-01


    Size :

    647867 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English