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English(EN) The Abstention Protocol: RCA for Clos Fabrics

新的根因分析系统CoreSec增强了数据中心网络分析能力

研究人员开发了CoreSec,一个用于大型数据中心网络根因分析(RCA)的新系统。与以往基于评分且难以处理嘈杂和不完整遥测数据的方法不同,CoreSec利用弃权代数进行确定性决策,并在证据模糊时明确弃权。这种方法结合拓扑感知配置,能够在真实的云环境中实现稳定且可解释的根因分析行为。 AI

影响 该系统可以提高大规模网络运行的可靠性和效率,从而间接惠及AI基础设施。

排序理由 该集群包含一篇详细介绍新技术系统的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.AI 阅读 →

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新的根因分析系统CoreSec增强了数据中心网络分析能力

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该集群包含一篇详细介绍新技术系统的研究论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Madhava Gaikwad, Deepak Pandey ·

    The Abstention Protocol: RCA for Clos Fabrics

    arXiv:2608.21412v1 Announce Type: new Abstract: Root cause analysis (RCA) in large datacenter networks is challenging because telemetry is noisy, partial, and asynchronous. Score-based approaches degrade under these conditions, often yielding unstable or incorrect attributions. W…