arXiv Artificial Intelligence

The Abstention Protocol: RCA for Clos Fabrics

The Abstention Protocol: RCA for Clos Fabrics

Quick summary

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. We present \textsc{CoreSec}, a production RCA system that replaces weighted fusion with a PAM-style abstention algebra. Telemetry agents are composed using control flags that yield deterministic decisions and explicit abstention when evidence is ambiguous. CoreSec combines this algebra with topology-aware configurations

Key takeaways

  • 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.
  • We present \textsc{CoreSec}, a production RCA system that replaces weighted fusion with a PAM-style abstention algebra.

Why it matters

AI progress is not only a software story. Chips, data centers and energy decisions help determine which models can operate economically and what end users ultimately pay.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗