Special Session on Next-Generation Networking and Computing Continuum for Large-Scale Digital Twins (DS-RT 2026)
Special Session framework: Held in the framework of DS-RT 2026 - The 30th International Symposium on Distributed Simulation and Real-Time Applications.
Goals of the Session: The primary objective of this session is to explore the fundamental shift from centralized simulation models to distributed, real-time Digital Twins (DTs) that operate across the entire computing continuum. As Digital Twins evolve to represent increasingly complex, large-scale systems—such as smart cities, global supply chains, and autonomous fleets—the underlying network architecture must evolve from a passive transport layer to an active, "intelligence-aware" infrastructure.
Topics of Interest include, but are not limited to:
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Architectures and frameworks for the Edge-to-Cloud-Continuum in DTs
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Digital Twins for Networking (DT4NW): performance, reliability, and security
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SAGIN (Space-Air-Ground Integrated Networks) for DT connectivity
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Distributed AI and Federated Learning for intelligent DT modeling
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Real-time state synchronization and ultra-low latency protocols
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Intelligence at the edge and autonomous decision-making in DTs
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Dynamic resource orchestration and task offloading for DT workloads
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Network Slicing and QoS/QoE provisioning for mission-critical DTs
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Security, privacy-preserving techniques, and trust management
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Interoperability standards and multi-domain Digital Twins
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Digital-Twin-as-a-Service (DTaaS) and cloud-native simulation
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Predictive "What-if" analysis and real-time optimization via DTs
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AI-native network management and self-healing continua
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AI-native network and physical layers design through DT feedback
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Network abstraction within Digital Twin ecosystems
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Integrated sensing, communication, and computation (ISCC) modeling
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Proof-Of-Concept and DT prototyping for innovative applications
Date and Time
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- Via Trieste 63
- Padova, Veneto
- Italy
- Building: Department of Mathematics “TULLIO LEVI-CIVITA”
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SESSION CHAIRS
- Daniele Tarchi, University of Florence, Italy
- Francesco Linsalata, Politecnico di Milano, Italy
- Marco Martalò, University of Cagliari, Italy