activity
20222024
most citedAdaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching

47 citations · 83 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SE202419 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.SE202411 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.SE20241 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.SE20244 cited

MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection

Jinyang Liu, Wenwei Gu, Zhuangbin Chen +3

Key Performance Indicators (KPIs) are essential time-series metrics for ensuring the reliability and stability of many software systems. They faithfully record runtime states to fa…

cs.SE2023

A Roadmap towards Intelligent Operations for Reliable Cloud Computing Systems

Yintong Huo, Cheryl Lee, Jinyang Liu +2

The increasing complexity and usage of cloud systems have made it challenging for service providers to ensure reliability. This paper highlights two main challenges, namely interna…

cs.SE2023

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services

Jinyang Liu, Tianyi Yang, Zhuangbin Chen +4

As modern software systems continue to grow in terms of complexity and volume, anomaly detection on multivariate monitoring metrics, which profile systems' health status, becomes m…