SDNator is presented as the first domain-agnostic framework for extensible data-driven control in CPS, with benchmarks showing scalability comparable to Ryu and simulations demonstrating benefits in additive manufacturing scheduling via digital twins.
A dig- ital twin framework for performance monitoring and anomaly detection in fused deposition modeling
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SDNator is Not Another SDN Controller: Enabling Extensible Data-Driven Control in Cyber-Physical Systems
SDNator is presented as the first domain-agnostic framework for extensible data-driven control in CPS, with benchmarks showing scalability comparable to Ryu and simulations demonstrating benefits in additive manufacturing scheduling via digital twins.