activity
20232026
most citedKnowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach

19 citations · 43 across the 11 of their papers we have counts for

collaborators
Showing cs.SEShow all

10 papers · 1 filter

cs.SE2026

MicroAgent: Context-Augmented Multi-Agent Framework for Automatic Microservice Decomposition

Zishan Su, Junjie Huang, Shiwen Shan +5

The adoption of Microservice Architecture (MSA) has revolutionized software engineering by enhancing scalability, agility, and maintainability over traditional monolithic applicati…

cs.SE2025

CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs

Junjie Huang, Minghua He, Jinyang Liu +3

Log-based anomaly detection (LogAD) is critical for maintaining the reliability and availability of large-scale online service systems. While machine learning, deep learning, and l…

cs.SE2025★ 1 cited

L4: Diagnosing Large-scale LLM Training Failures via Automated Log Analysis

Zhihan Jiang, Junjie Huang, Zhuangbin Chen +6

As Large Language Models (LLMs) show their capabilities across various applications, training customized LLMs has become essential for modern enterprises. However, due to the compl…

cs.SE2024

Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis

Junjie Huang, Zhihan Jiang, Jinyang Liu +7

Logs are imperative in the maintenance of online service systems, which often encompass important information for effective failure mitigation. While existing anomaly detection met…

cs.SE2024★ 5 cited

Contextualized Data-Wrangling Code Generation in Computational Notebooks

Junjie Huang, Daya Guo, Chenglong Wang +7

Data wrangling, the process of preparing raw data for further analysis in computational notebooks, is a crucial yet time-consuming step in data science. Code generation has the pot…

cs.SE2024

LUNAR: Unsupervised LLM-based Log Parsing

Junjie Huang, Zhihan Jiang, Zhuangbin Chen +1

Log parsing serves as an essential prerequisite for various log analysis tasks. Recent advancements in this field have improved parsing accuracy by leveraging the semantics in logs…

cs.SE2024★ 19 cited

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach

Jinxi Kuang, Jinyang Liu, Junjie Huang +6

Due to the scale and complexity of cloud systems, a system failure would trigger an "alert storm", i.e., massive correlated alerts. Although these alerts can be traced back to a fe…

cs.SE2024★ 11 cited

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems

Junjie Huang, Jinyang Liu, Zhuangbin Chen +7

Postmortem analysis is essential in the management of incidents within cloud systems, which provides valuable insights to improve system's reliability and robustness. At CloudA, fa…

cs.SE2024★ 1 cited

Go Static: Contextualized Logging Statement Generation

Yichen Li, Yintong Huo, Renyi Zhong +6

Logging practices have been extensively investigated to assist developers in writing appropriate logging statements for documenting software behaviors. Although numerous automatic…

cs.SE2023★ 6 cited

LILAC: Log Parsing using LLMs with Adaptive Parsing Cache

Zhihan Jiang, Jinyang Liu, Zhuangbin Chen +6

Log parsing transforms log messages into structured formats, serving as the prerequisite step for various log analysis tasks. Although a variety of log parsing approaches have been…