Kanglin Yin

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition

Dan Pei, Zeyan Li, Xiaohui Nie, 2022, KDD.

A Method of Building Fault Repository for Cloud Infrastructure

Qingfeng Du, Kanglin Yin, Yue Tian, 2017, CyberC.

Mining Fluctuation Propagation Graph Among Time Series with Active Learning

Dan Pei, Xidao Wen, Xiaohui Nie, 2022, DEXA.

Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning

Yu He, Qingfeng Du, Kanglin Yin, 2018, ICANN.

A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

Qingfeng Du, Kanglin Yin, Juan Qiu, 2020, Applied Sciences.

LWS: A Framework for Log-based Workload Simulation in Session-based SUT

Dan Pei, Qingfeng Du, Kanglin Yin, 2023, Journal of Systems and Software.

Short-Term Performance Metrics Forecasting for Virtual Machine to Support Anomaly Detection Using Hybrid ARIMA-WNN Model

Qingfeng Du, Kanglin Yin, Juan Qiu, 2019, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).

On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems

Qingfeng Du, Kanglin Yin, Juan Qiu, 2019, ArXiv.

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data

Dan Pei, Xidao Wen, Shenglin Zhang, 2022, IEEE International Symposium on Software Reliability Engineering.