Parked Vehicle (PV) assistance in vehicular edge computing and networks is proposed to exploit underutilized computing resources from PVs for enhancing the resource capacity at the edge vehicular network. Containerization is used to improve task execution of PVs with fast start-up time, less hardware overheads and safe resource isolation. To this end, we introduce a task-container matching market to provide on-demand offloading services. For network implementation, the related entities including requesters, PVs with containers as performers and a service provider are described. Considering parking behaviors and resource availability, we measure the serviceabilities of PVs to select appropriate PVs for reliable and efficient task processing. According to utility functions, preference profiles of requesters and performers in the task-container matching market are modeled through the best response analysis. Finally, we apply matching game approach to cope with associations between tasks and containers deployed inside PVs. Numerical results demonstrate that compared with baseline schemes, our scheme accomplishes more tasks and acquires a higher overall utility in computation offloading.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Task-Container Matching Game for Computation Offloading in Vehicular Edge Computing and Networks


    Beteiligte:
    Huang, Xumin (Autor:in) / Yu, Rong (Autor:in) / Xie, Shengli (Autor:in) / Zhang, Yan (Autor:in)


    Erscheinungsdatum :

    2021-10-01


    Format / Umfang :

    2245475 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Cooperative Computation Offloading in Blockchain-Based Vehicular Edge Computing Networks

    Lang, Ping / Tian, Daxin / Duan, Xuting et al. | IEEE | 2022



    A Collaborative Task Offloading Scheme in Vehicular Edge Computing

    Bute, Muhammad Saleh / Fan, Pingzhi / Liu, Gang et al. | IEEE | 2021


    Scalable Modulation based Computation Offloading in Vehicular Edge Computing System

    Li, Wenjie / Zhang, Ning / Liu, Qiuyan et al. | IEEE | 2020


    Computation Offloading with Reliability Guarantee in Vehicular Edge Computing Systems

    He, Zhongjie / Shan, Hangguan / Bi, Yuanguo et al. | IEEE | 2020