Mobile edge computing (MEC) distributes computation and storage resources to network edges, which enables computation-intensive and latency-critical applications for resource-constrained devices. In a MEC network, computation offloading decision plays a critical role, which allocates specific computation nodes (CNs) for different tasks. However, few existing works consider the practical scenario in which different tasks have different arrival time and relative computation deadlines. In this paper, the computation offloading problem with dynamic service requests is considered, and at the same time we assume different computation tasks have different response deadlines and computation deadlines. Taking the quality of service (QoS) requirements of all users and the utility constraints of tasks and CNs into consideration, the service-oriented and CN- oriented optimization problem are formulated, respectively. Next the online matching game is introduced to model the dynamic association between the tasks and CNs, and then the rank based final acceptation (RBFA) matching algorithm is proposed to solve the problems. Finally, we validate the effectiveness of the proposed algorithm through the simulation results.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Computation Offloading with Online Matching Algorithm in Mobile Edge Computing Networks


    Beteiligte:
    Su, Chunxia (Autor:in) / Ye, Fang (Autor:in) / Tian, Yuan (Autor:in) / Han, Zhu (Autor:in)


    Erscheinungsdatum :

    2019-09-01


    Format / Umfang :

    900716 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch