In this paper we consider service migration problem for Data and Reasoning Fabric (DRF) enabled airspace operations assuming a fixed cloud/edge infrastructure with allocated computing, storage and power resources, where cloud/edge servers, and communication stations are in a wired connected network, while vehicles use a wireless network for communication. The objective is to automatically select the best location for the requested service execution, which achieves minimum cost while satisfying the user quality of service (QoS) and available resources constraints. To this end, estimates of the response time, consumed energy and total cost are defined for each potential compute location. A mixed-integer linear program is then formulated and solved to identify optimal compute locations given QoS constraints, network infrastructure limitations, with worst-case vehicle positioning. The approach is applied to trajectory re-planning use case to avoid a collision with an emergency vehicle in real time.


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    Title :

    An Approach to Reasoning Service Migration in Data and Reasoning Fabric (DRF) Implementation


    Contributors:

    Conference:

    AIAA SciTech Forum and Exposition ; 2022 ; San Diego, CA, US



    Publication date :

    2021-12-29




    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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