With the rapid development of Internet of Things, edge computing, SDN/NFV and other network communication technologies, the demand for dynamic service function chain orchestration is increasing. Because the machine learning method based on neural network can flexibly predict and select the next optimal action according to the existing data model, the algorithm based on neural network has been more and more applied in the dynamic orchestration of service function chain in recent years. This paper analyzes the current research situation of service function chain orchestration algorithm based on neural network from two aspects of algorithm types and experimental simulation results, and puts forward the existing problems of service function chain orchestration algorithm based on neural network and the direction of further research and expansion in the future.


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    Titel :

    A Survey of Service Function Chain Orchestration Based on Neural Network


    Beteiligte:
    Wang, Shuyi (Autor:in) / Yang, Longxiang (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    847250 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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