From the 1 of 5 linked papers with an AI index.
5 papers
OpsMem: Dual-Memory Reasoning with Cross-Memory Resonance for Failure Diagnosis
Yongqian Sun, Rongchen Gao, Yu Luo +6
The paper presents OpsMem, a dual‑memory framework that combines a short‑term memory of the current diagnostic state with a long‑term memory of reusable operational experience, usi…
KRCA: An Efficient Root Cause Analysis System in Hyper-scale Microservice Systems via Agentic AI
Jiamin Jiang, Jingfei Feng, Yu Luo +10
Hyper-scale microservice systems have become the standard infrastructure for large-scale Internet companies. These systems consist of numerous loosely coupled microservices that ev…
Graph of States: Solving Abductive Tasks with Large Language Models
Yu Luo, Rongchen Gao, Lu Teng +9
Logical reasoning encompasses deduction, induction, and abduction. However, while Large Language Models (LLMs) have effectively mastered the former two, abductive reasoning remains…
OpsAgent: An Evolving Multi-agent System for Incident Management in Microservices
Yu Luo, Jiamin Jiang, Jingfei Feng +6
Incident management (IM) is central to the reliability of large-scale microservice systems. Yet manual IM, where on-call engineers examine metrics, logs, and traces is labor-intens…
TrioXpert: An Automated Incident Management Framework for Microservice System
Yongqian Sun, Yu Luo, Xidao Wen +5
Automated incident management plays a pivotal role in large-scale microservice systems. However, many existing methods rely solely on single-modal data (e.g., metrics, logs, and tr…