Optimal Service Migration for Data and Reasoning Fabric

What is it about?

We considered an optimal reasoning 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. We formulated the problem as a mixed-integer linear program for reasoning service total cost minimization, which is based on the worst case approach to air vehicles mobility and is subject to users QoS constraints and network infrastructure limitations. We demonstrated functionality of the approach in simulations using Matlab mixed-integer linear programming tools for the trajectory re-planning use case to handle the conflict with an emergency vehicle in real time.

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