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Work item:
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Y.Sup.DTN-GE
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Subject/title:
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Supplement to ITU-T Y.3090: Capabilities and framework enhancement for network digital twin enabled by graph engine
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Status:
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Under study
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Approval process:
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Agreement
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Type of work item:
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Supplement
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Version:
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New
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Equivalent number:
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-
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Timing:
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2028-10 (High priority)
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Liaison:
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ITU-T SG2, SG21
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Supporting members:
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State Grid of China, China Unicom, China Telecom, China Mobile,
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Summary:
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Digital twin network (DTN) technology enables virtual mapping of physical networks for intelligent operations. Existing ITU-T Recommendations define foundational DTN architectures and data requirements but lack descriptions of graph-native technologies—such as graph databases, knowledge graphs, and graph query languages—essential for modeling complex network relationships. Since networks are cross-domain, heterogeneous, and multi-layered, making relational databases inadequate for representing interconnected entities (e.g., devices, logical elements, and paths) and performing real-time, multi-hop analysis. Graph engines inherently capture relationship semantics, enable millisecond traversals, and support expressive querying.
Thus, this new Supplement introduces a graph-engine-enhanced DTN framework structured in three tiers: Graph-Based Data Processing: Native graph storage and streaming computation to unify multi-source network data, Graph-Based Data Models: Graph-schema-defined basic and functional models (e.g., for path computation, fault reasoning, traffic prediction), and Graph-Based Management: Lifecycle management and self-optimization of graph models.
To extend DTN with graph-native capabilities and requirements, this Supplement will bridge the gap between DTN architecture and implementable intelligence, transforming DTNs from static visualizations into dynamic, computable assets for autonomous network operations
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2026-03-06 15:56:35
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Last update:
2026-03-10 09:27:00
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