Leveraging social IoT to improve orchestration of digital twin networks

The increasing complexity of telecommunication infrastructures demands advanced mechanisms to support service management. In this context, Digital Twin Networks (DTNs) have emerged as a paradigm to provide virtual replicas of network elements, enabling operators to simulate scenarios and optimize operations without affecting the physical network. However, orchestrating services across large networks of DTs remains a challenging task due to the high number of nodes involved. This paper presents a strategy to reduce orchestration complexity by introducing social mechanisms inspired by the Social Internet of Things (SIoT). By establishing social relationships between Digital Twins, social communities can be established. These communities allow the orchestrator to restrict the analysis to relevant subgraphs rather than the entire topology. A simulation setup over a network of 15,000 nodes demonstrates that the proposed approach effectively reduces the number of elements and the connections the orchestrator needs to process.