Edge computing can reduce response time and communication pressure by caching data in edge server which is closed to the user. The development of 5G applications has posed strict requirements on various performance metrics of communication, which brings more and more challenges to the design of edge networks. In this paper, we focus on a multi-hop cache update system with multiple caches in series, which models a real-world system consisting of cloud, macro base stations, small base stations, and users. The base stations cache data and respond to users’ request. We derived closed-form expressions of average information freshness and average transmission delay for fetching data from the given level of cache and jointly optimize them. Then, we propose an algorithm based on alternating maximization to solve the optimization problem. The experimental results show that the proposed method can always achieve the optimum under different parameter settings. In addition, we also analyze the variation of latency and information freshness under the influence of weight parameters, which illustrates the importance of joint optimization of latency and information freshness.


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    Titel :

    Joint Information Freshness and Service Latency Optimization in Multi-hop Edge Caching Systems


    Beteiligte:
    Lu, Yi (Autor:in) / Gong, Jie (Autor:in) / Chen, Xu (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    1131190 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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