Madhulatha Mandarapu, Sandeep Kunkunuru · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30004 · open-access PDF
警报的根源分析是对无法共享的数据进行研究的。操作员日志是保密的,所以该领域发布的是警报类型之间的因果图,而不是因果原因,一个固定的场景集,被关闭或从未发布。最近的两项基准都以因果原因为规模;没有声明下载地点或许可证。我们提供一个发电机而不是数据集。它运行于来自互联网 Topology Zoo 的真实脊椎 topologies,并记录每个警报的确切根源和传播途径 - 一个生成副产品,而不是一个标签传递。
Machine translation (Meta M2M100); the English original follows.
Alarm root-cause analysis is studied on data that cannot be shared. Operator logs are confidential, so what the field publishes is a causal graph between alarm types rather than per-incident causes, a fixed scenario set, gated, or never released. Two recent benchmarks carry per-incident root causes at scale; neither states a download location or a licence. We give a generator rather than a dataset. It runs on real backbone topologies from the Internet Topology Zoo and records the exact root cause and the propagation path of every alarm -- a by-product of generation, not a labelling pass. Every
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