Vehicle-crowd (V-crowd) based cloudlets are envisioned to support high-demand mobile edge computing applications. Yet, a v-crowd's capability to host cloudlet applications is significantly affected by the sustainability of itself. Among the factors that may contribute to the capability and sustaining the v-crowd, traffic signal coordination plays an important role. In this paper, we study the interdependence between them through an empirical approach. We'll define new metrics to quantify the impact, and use data driven simulation to obtain results by manipulating signals offset as a control knob of traffic signal coordination. The goal is to use the results in terms of the metrics to develop guidelines that offer choices of offsets preferable for certain levels of v-crowd properties so as to achieve better performance of cloudlet applications.


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    Titel :

    Sustain Vehicle-Crowds via Traffic Signal Adjustments


    Beteiligte:
    Kuai, Meng (Autor:in) / Subedi, Pawan (Autor:in) / Hong, Xiaoyan (Autor:in) / Hainen, Alexander (Autor:in)


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    1059625 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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