Vehicles are integral elements of urban computing and urban analytics, providing sensed data and thus being closely related to the exchange and gathering of a massive quantity of data in real-time. Vehicular Clouds consist of joining Vehicular Networks with Mobile Cloud Systems, allowing vehicles to share their resources and facilitate the transfer of information. Due to its mobility, the pool of resources in a Vehicular Cloud changes constantly. Thus, these Clouds need to adapt according to the input and output of their resources to meet the requirements of quality of service. Resource management and discovery are crucial elements for enabling and maintaining such Clouds. In this paper, we describe and discuss important issues about identifying and organizing resources in a Vehicular Cloud, as well as the specific techniques involved. Finally, we discuss challenges and issues for potential future works.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicular Clouds Leveraging Mobile Urban Computing Through Resource Discovery


    Beteiligte:


    Erscheinungsdatum :

    01.06.2020


    Format / Umfang :

    980031 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Towards an Efficient Vehicular Clouds using Mobile Brokers

    Kerrache, Chaker Abdelaziz / Ahmad, Farhan / Ahmad, Zeeshan et al. | IEEE | 2019


    Remote Vehicular Micro Clouds

    Ucar, Seyhan / Higuchi, Takamasa / Altintas, Onur et al. | IEEE | 2023



    Resource Management for Intelligent Vehicular Edge Computing Networks

    Duan, Wei / Gu, Xiaohui / Wen, Miaowen et al. | IEEE | 2022


    MmWave Vehicular Beam Alignment Leveraging Online Learning

    Xian, Qingyang / Doufexi, Angela / Armour, Simon | IEEE | 2023