With the emergence of connected and autonomous vehicles along with their growing integration of available services, in-vehicle electronic architecture is no longer able to work up to its full potential. Each new service demands processing and computation traditionally handled by a new Electronic Control Unit (ECU). Modern vehicle design tends to be architected around ECU gathered either by feature or by physical location to minimize wiring. Both architectures cannot exploit capabilities of Processing Units (PU) in term of resources such as MIPS and memories.In this paper, we propose a novel approach for the management of these resources by introducing multi-agent systems. This concept consists of integrating IoT-A architectures (implementing agents as close as possible to the hardware), and Avatar architectures (virtualizing the representation of the hardware in high level: Cloud and Edge computing). The result of this work is the emergence of a new EdgeAgent architectural proposal to extend vehicle management and functionalities while considering the environment for vehicles of the future.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Multi-Edge-Agent System approach for sharing heterogeneous computing resources


    Beteiligte:
    Carlier, Florent (Autor:in) / Fresse, Virginie (Autor:in) / Jamont, Jean-Paul (Autor:in) / Rosay, Arnaud (Autor:in) / Pallardy, Loic (Autor:in)


    Erscheinungsdatum :

    01.11.2020


    Format / Umfang :

    2357216 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    QoS Optimization for Distributed Edge Computing System: A Multi-agent State-based Learning Approach

    Zhang, Fenghui / Wang, Michael Mao / Shan, Liqing et al. | IEEE | 2021


    Service Function Chain Scheduling in Heterogeneous Multi-UAV Edge Computing

    Yangang Wang / Hai Wang / Xianglin Wei et al. | DOAJ | 2023

    Freier Zugriff

    Simulations of Hierarchical Belief Sharing for Multi-Agent Coverage with Heterogeneous Targets

    Meighan, Andrew / Ponniah, Jonathan / Dantsker, Or D. | AIAA | 2024



    Vehicle sharing services optimization based on multi-agent approach

    Jeribi, Karama / Mejri, Hinda / Zgaya, Hayfa et al. | Tema Archiv | 2011