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

47 citations · 60 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20231 cited

Improving the Transferability of Adversarial Samples by Path-Augmented Method

Jianping Zhang, Jen-tse Huang, Wenxuan Wang +5

Deep neural networks have achieved unprecedented success on diverse vision tasks. However, they are vulnerable to adversarial noise that is imperceptible to humans. This phenomenon…

cs.PF20233 cited

eBPF-based Working Set Size Estimation in Memory Management

Zhilu Lian, Yangzi Li, Zhixiang Chen +3

Working set size estimation (WSS) is of great significance to improve the efficiency of program executing and memory arrangement in modern operating systems. Previous work proposed…

cs.SE2023

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention

Cheryl Lee, Tianyi Yang, Zhuangbin Chen +3

Prompt and accurate detection of system anomalies is essential to ensure the reliability of software systems. Unlike manual efforts that exploit all available run-time information,…

cs.SE20231 cited

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data

Cheryl Lee, Tianyi Yang, Zhuangbin Chen +2

The complexity and dynamism of microservices pose significant challenges to system reliability, and thereby, automated troubleshooting is crucial. Effective root cause localization…

cs.DC20232 cited

FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version)

Jiacheng Shen, Pengfei Zuo, Xuchuan Luo +4

Distributed in-memory key-value (KV) stores are embracing the disaggregated memory (DM) architecture for higher resource utilization. However, existing KV stores on DM employ a sem…

cs.SE202247 cited

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…