Abstract:
IoT devices are growing rapidly worldwide. Distributed fog computing deployments at the network edge can provide computing resources for latency-sensitive applications in next-generation networks. The heterogeneous needs of 5G networks necessitate network function virtualization (NFV).
Thus, an IoT-integrated NFV and fog computing resource allocation framework is crucial. In this paper, we model the interactions between data service operators (DSOs) and authorized data service subscribers (ADSSs) as an equilibrium problem with equilibrium constraints (EPEC) and use ADMM as a large-scale optimization tool.
This optimizes DSO pricing and ADSS resource purchases. We also propose a many-to-many matching model to allocate fog node (FN) resources to ADSS VNF resource requirements. Simulations show that our approach efficiently allocates resources in NFV-enabled IoT fog computing.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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