65 citations · 180 across the 25 of their papers we have counts for
9 papers · 1 filter
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…
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems
Jinyang Liu, Zhihan Jiang, Jiazhen Gu +6
Ensuring the reliability of cloud systems is critical for both cloud vendors and customers. Cloud systems often rely on virtualization techniques to create instances of hardware re…
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
Zhihan Jiang, Jinyang Liu, Junjie Huang +6
Log data have facilitated various tasks of software development and maintenance, such as testing, debugging and diagnosing. Due to the unstructured nature of logs, log parsing is t…
Log-based Anomaly Detection based on EVT Theory with feedback
Jinyang Liu, Junjie Huang, Yintong Huo +6
System logs play a critical role in maintaining the reliability of software systems. Fruitful studies have explored automatic log-based anomaly detection and achieved notable accur…
EvLog: Identifying Anomalous Logs over Software Evolution
Yintong Huo, Cheryl Lee, Yuxin Su +3
Software logs record system activities, aiding maintainers in identifying the underlying causes for failures and enabling prompt mitigation actions. However, maintainers need to in…
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen +10
In cloud systems, incidents are potential threats to customer satisfaction and business revenue. When customers are affected by incidents, they often request customer support servi…
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
Zhuangbin Chen, Jinyang Liu, Yuxin Su +4
To ensure the performance of online service systems, their status is closely monitored with various software and system metrics. Performance anomalies represent the performance deg…
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen, Jinyang Liu, Wenwei Gu +2
Logs have been an imperative resource to ensure the reliability and continuity of many software systems, especially large-scale distributed systems. They faithfully record runtime…
Tools and Benchmarks for Automated Log Parsing
Jieming Zhu, Shilin He, Jinyang Liu +4
Logs are imperative in the development and maintenance process of many software systems. They record detailed runtime information that allows developers and support engineers to mo…