HIGHLIGHTS
- What: The authors aim to investigate the dynamic and priority of resource management on demand. The experiment shows that the work can outperform reference schemes in terms of resources cost energy reliability and average service completion ratio. of Things. After, the authors design a novelty distributed DRL-driven resource management policy in the proposed model, which jointly optimal resource and priority/demand based on IIoT criteria usage. The authors aim to minimize energy consumption by leveraging MEC to provide accommodation for NFV to instantiate virtual machines (VM) and adjust and reconfigure the resource capacity of utilizations.
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