Time-sensitive network (TSN) guarantees deterministic delivery of traffic by prioritizing it differently. Commonly used traffic scheduling algorithm is time-aware shaper (TAS) combined with credit-based shaper (CBS). Aiming at the problem of excessive reserved bandwidth for stream reservation (SR) traffic during CBS scheduling, a traffic scheduling strategy based on load balancing was proposed. And the reserved bandwidth parameters of the SR traffic were optimized after completing the modeling of its delay problem. This strategy sliced and encapsulated the SR traffic packets into equal-length data frames at the end nodes and made them uniformly transmitted during the sending cycle. It reduced the end-to-end worst response time of the SR traffic due to packet congestion. After that the delay model was solved using simulated annealing algorithm to get the optimal reserved bandwidth. Simulation results showed that the proposed SR traffic scheduling strategy effectively reduced the reserved bandwidth and the delay of traffic transmission inside the switch on the basis of satisfying the traffic schedulability.


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    Title :

    Research on traffic scheduling algorithm and parameter optimization based on load balancing in time-sensitive network


    Contributors:
    Yao, Xinwei (editor) / Kong, Xiangjie (editor) / Chen, Zhao (author)

    Conference:

    Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023) ; 2023 ; Hangzhou, China


    Published in:

    Proc. SPIE ; 13176


    Publication date :

    2024-05-22





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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