cs.NI · 2026-06-14 · No. 23

Networking and Internet Architecture, 2026-06-14.

3 new papers in cs.NI. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    NetCause: Counterfactual Learning for Root Cause Analysis in Large-Scale Networks

    Fabien Chraim, Jian Zhang, Dominik Janzing, Xiang Song, Christos Faloutsos, John Evans

    cs.NI · cs.LG

    Can a learned model capture how faults propagate through a large-scale network and use this knowledge to causally attribute customer impact to its underlying root cause? Existing root cause analysis techniques often rely on static rules, correlation heuristics, or topology-local reasoning, which struggle to generalize in dynamic environments where faults propagate across complex physical and logical dependencies. We present NetCause, a...

    arxiv.org/abs/2606.13543 · PDF

  2. 02

    Graphical Causal Reasoning for Root Cause Analysis in Cloud Networks

    Fabien Chraim, Dominik Janzing, John Evans

    cs.NI · cs.LG

    Cloud-computing relies on large-scale networks which are inherently complex systems. In this paper, we present a novel approach to root cause analysis (RCA) of cloud network incidents, leveraging graph-based causal discovery techniques. Our method addresses the limitations of rule-based automation by introducing a spatiotemporal grouping strategy and an automation ontology to reduce the dimensionality of the problem. We construct a causal...

    arxiv.org/abs/2606.13532 · PDF

  3. 03

    ScaleAcross: Designing Multi-Data-Center Infrastructure for Geo-Distributed AI Training

    Naved Inam, Aryan Alpesh Bhavsar, Masabattula Teja Nikhil, Sidharth Sharma

    cs.NI · cs.DC · cs.ET

    The rapid growth of AI models and increasing data sovereignty requirements are driving the transition toward geo-distributed AI training across multiple data centers. Such deployments introduce system-level challenges arising from synchronization-intensive communication, cross-site data exchange, and wide-area latency constraints. This paper investigates EVPN--VXLAN as an infrastructure foundation for geo-distributed AI training environments...

    arxiv.org/abs/2606.12963 · PDF

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