Adaptive performance anomaly detection for online service systems via pattern sketching

Z Chen, J Liu, Y Su, H Zhang, X Ling, Y Yang… - Proceedings of the 44th …, 2022 - dl.acm.org
To ensure the performance of online service systems, their status is closely monitored with
various software and system metrics. Performance anomalies represent the performance …

Prism: Revealing hidden functional clusters from massive instances in cloud systems

J Liu, Z Jiang, J Gu, J Huang, Z Chen… - 2023 38th IEEE/ACM …, 2023 - ieeexplore.ieee.org
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 …

Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection

W Gu, J Liu, Z Chen, J Zhang, Y Su, J Gu… - arxiv preprint arxiv …, 2023 - arxiv.org
Performance issues permeate large-scale cloud service systems, which can lead to huge
revenue losses. To ensure reliable performance, it's essential to accurately identify and …

Studying the characteristics of AIOps projects on GitHub

R Aghili, H Li, F Khomh - Empirical Software Engineering, 2023 - Springer
Abstract Artificial Intelligence for IT Operations (AIOps) leverages AI approaches to handle
the massive amount of data generated during the operations of software systems. Prior …

Federated learning for anomaly detection: A case of real-world energy storage deployment

X Wang, Y Chen, OA Dobre - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
We have aspired as a green and intelligent future, where humans, the built environment,
and the nature are interconnected as a cyber-physical system. To such an Internet of Things …

Predicting the change impact of resolving defects by leveraging the topics of issue reports in open source software systems

M Assi, S Hassan, S Georgiou, Y Zou - ACM Transactions on Software …, 2023 - dl.acm.org
Upon receiving a new issue report, practitioners start by investigating the defect type, the
potential fixing effort needed to resolve the defect and the change impact. Moreover, issue …

Software Operation Anomalies Diagnosis Method Based on a Multiple Time Windows Mixed Model

T Shi, Z Zou, J Ai - Applied Sciences, 2023 - mdpi.com
Featured Application This method addresses the problem of predicting anomaly data in
software runtime. The proposed method utilizes multiple time windows to choose models …

Characterizing and mitigating anti-patterns of alerts in industrial cloud systems

T Yang, J Shen, Y Su, X Ren, Y Yang… - 2022 52nd Annual …, 2022 - ieeexplore.ieee.org
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 business …

Demystifying the Impact of Open-Source Machine Learning Libraries on Software Analytics

Y Zhao, Y Gong, L Gong, S Jiang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Machine learning (ML) classification techniques from various libraries have been widely
introduced into software engineering (SE) to mine instructive insights, which help …

[PDF][PDF] A Cloud Pub/Sub Architecture to Integrate Google Big Query with Elasticsearch using Cloud Functions

SL Gutiérrez, YP Vera - International Journal of …, 2022 - pdfs.semanticscholar.org
In recent years, the need for analytics on large volumes of data has become increasingly
important. It turns out to be extremely useful in making strategic decisions about different …