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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Reasoning About Job Completion Time in Vehicular Clouds


    Contributors:


    Publication date :

    2017-07-01


    Size :

    1213127 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Reasoning About Job Completion Time in Vehicular Clouds

    Florin, Ryan | Online Contents | 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 | 2016


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