Revenue Maximization in Delay-aware Computation Offloading among Service Providers with Fog Federation

Mithun Mukherjee, Vikas Kumar, Jaime Lloret, Qi Zhang

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    Abstract

    In this letter, we study the computational offloading scheme for the delay-aware tasks of the end-users in the fog computing network. We consider a fog federation of different service providers where an individual fog node allocates its computing resources to the end-user in its proximity, while a fog manager coordinates the load balancing among the fog nodes over the entire network. At first, an individual fog node aims to maximize its revenue by selling the computational resources to the end-user in a distributed manner without any global knowledge of the network. To further maximize the overall revenue considering all fog nodes in the fog federation, the fog manager utilizes the remaining computing resources of the underloaded fog nodes. The extensive simulation results show the revenue improvement leveraging fog federation over entire network while maintaining the same and even better delay-performance for the end-users.

    OriginalsprogEngelsk
    TidsskriftIEEE Communications Letters
    Vol/bind24
    Nummer8
    Sider (fra-til)1799-1803
    Antal sider5
    ISSN1089-7798
    DOI
    StatusUdgivet - aug. 2020

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