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English(EN) Toward Composable Network Digital Twins: A Subgraph-Based Latency Prediction Study

新型可组合网络数字孪生改进延迟预测

研究人员开发了一种创建可组合、可重用网络数字孪生(NDTs)的新方法。该方法将网络分解为代表子图的更小、可重用单元孪生,然后由组合器聚合这些单元孪生以预测整个拓扑的端到端延迟。与传统的整体式NDTs相比,可组合NDTs在分布外场景下也表现出高准确性和稳定性,并具有可重用性。 AI

影响 这项研究可能带来更高效、更准确的网络性能分析和仿真工具。

排序理由 该集群包含一篇详细介绍网络数字孪生新方法的论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新型可组合网络数字孪生改进延迟预测

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该集群包含一篇详细介绍网络数字孪生新方法的论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shenjia Ding, David Flynn, Paul Harvey ·

    迈向可组合网络数字孪生:一项基于子图的延迟预测研究

    arXiv:2609.18704v1 Announce Type: cross Abstract: Modern networks must support changing topologies, configurations, and performance objectives, motivating fast and reliable performance estimation. Network digital twins (NDTs) enable what-if analysis for performance estimation in …