In order to enhance dependability and availability, it is common practice in conventional clouds to assign two servers to each job. In this paper, we investigate the effect of such a redundancy-based job assignment strategy on job completion time in vehicular clouds. We offer a heuristic analysis of the expected job completion time under this strategy. A comprehensive set of simulations confirmed the accuracy of our analytical predictions.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Reasoning About Job Completion Time in Vehicular Clouds




    Erscheinungsdatum :

    2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.84 / 55.24 / 55.84 Straßenverkehr / 55.24 Fahrzeugführung, Fahrtechnik



    Reasoning About Job Completion Time in Vehicular Clouds

    Florin, Ryan / Ghazizadeh, Puya / Ghazi Zadeh, Aida et al. | IEEE | 2017


    Reasoning About Expected Job Completion Time in Dynamic Vehicular Clouds

    Ghazizadeh, Aida / Ghazizadeh, Puya / Mukkamala, Ravi et al. | IEEE | 2023


    Reasoning About Mean Time to Failure in Vehicular Clouds

    Ghazizadeh, Puya | Online Contents | 2015


    Reasoning About Mean Time to Failure in Vehicular Clouds

    Ghazizadeh, Puya | Online Contents | 2016


    Reasoning About Mean Time to Failure in Vehicular Clouds

    Ghazizadeh, Puya / Florin, Ryan / Zadeh, Aida Ghazi et al. | IEEE | 2016