activity
20202024
most citedA Survey on Automated Log Analysis for Reliability Engineering

35 citations · 63 across the 14 of their papers we have counts for

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12 papers · 1 filter

cs.SE2024

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions

Cheryl Lee, Zhouruixing Zhu, Tianyi Yang +4

As an emerging cloud computing deployment paradigm, serverless computing is gaining traction due to its efficiency and ability to harness on-demand cloud resources. However, a sign…

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…

cs.SE2023

Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion

Cheryl Lee, Tianyi Yang, Zhuangbin Chen +2

Ensuring the reliability and user satisfaction of cloud services necessitates prompt anomaly detection followed by diagnosis. Existing techniques for anomaly detection focus solely…

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.SE2023★ 1 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.SE2022★ 9 cited

MicroRes: Versatile Resilience Profiling in Microservices via Degradation Dissemination Indexing

Tianyi Yang, Cheryl Lee, Jiacheng Shen +3

Microservice resilience, the ability of microservices to recover from failures and continue providing reliable and responsive services, is crucial for cloud vendors. However, the c…

cs.SE2022

Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning

Baitong Li, 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.SE2022

Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems

Tianyi Yang, Jiacheng Shen, Yuxin Su +3

Alerts are crucial for requesting prompt human intervention upon cloud anomalies. The quality of alerts significantly affects the cloud reliability and the cloud provider's busines…

cs.SE2021★ 1 cited

AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems

Tianyi Yang, Jiacheng Shen, Yuxin Su +3

Service reliability is one of the key challenges that cloud providers have to deal with. In cloud systems, unplanned service failures may cause severe cascading impacts on their de…

cs.SE2021★ 15 cited

TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release

Tianyi Yang, Cuiyun Gao, Jingya Zang +2

App reviews deliver user opinions and emerging issues (e.g., new bugs) about the app releases. Due to the dynamic nature of app reviews, topics and sentiment of the reviews would c…

cs.SE2020★ 35 cited

A Survey on Automated Log Analysis for Reliability Engineering

Shilin He, Pinjia He, Zhuangbin Chen +3

Logs are semi-structured text generated by logging statements in software source code. In recent decades, software logs have become imperative in the reliability assurance mechanis…