Practical root cause localization for microservice systems via trace analysis

Z Li, J Chen, R Jiao, N Zhao, Z Wang… - 2021 IEEE/ACM 29th …, 2021 - ieeexplore.ieee.org
Microservice architecture is applied by an increasing number of systems because of its
benefits on delivery, scalability, and autonomy. It is essential but challenging to localize root …

Logrule: Efficient structured log mining for root cause analysis

P Notaro, S Haeri, J Cardoso… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Accurate, timely Root Cause Analysis (RCA) is essential to successful IT operations as a
primary step to incident remediation. RCA automation using data mining techniques in large …

Location data analytics in the business value chain: A systematic literature review

LE Ferro-Díez, NM Villegas, J Díaz-Cely - IEEE Access, 2020 - ieeexplore.ieee.org
Context information has become a significant asset to optimize the value obtained from
information systems. Location is an important type of context information that refers to the …

Constructing large-scale real-world benchmark datasets for aiops

Z Li, N Zhao, S Zhang, Y Sun, P Chen, X Wen… - arXiv preprint arXiv …, 2022 - arxiv.org
Recently, AIOps (Artificial Intelligence for IT Operations) has been well studied in academia
and industry to enable automated and effective software service management. Plenty of …

Generic and robust localization of multi-dimensional root causes

Z Li, C Luo, Y Zhao, Y Sun, K Sui… - 2019 IEEE 30th …, 2019 - ieeexplore.ieee.org
Operators of online software services periodically collect various measures with many
attributes. When a measure becomes abnormal, indicating service problems such as …

SpotLight: Accurate, explainable and efficient anomaly detection for Open RAN

C Sun, U Pawar, M Khoja, X Foukas… - Proceedings of the 30th …, 2024 - dl.acm.org
The Open RAN architecture, with disaggregated and virtualized RAN functions
communicating over standardized interfaces, promises a diversified and multi-vendor RAN …

How resource utilization influences UI responsiveness of Android software

J Fu, Y Wang, Y Zhou, X Wang - Information and Software Technology, 2022 - Elsevier
Context: The rapid responsiveness of smartphones is critical to user experience. Excessive
resource utilization is typically considered as one of the major factors leading to laggy-UI …

Autoroot: A novel fault localization schema of multi-dimensional root causes

P Jing, Y Han, J Sun, T Lin, Y Hu - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
The key challenge for large scale software system maintenance is to minimize the
troubleshooting time when severe system anomaly (eg, server failure, link congestion …

SinkFlow: Fast and traceable root-cause localization for multidimensional anomaly events

Z Hu, L Liu, L Ma, X Yu - Engineering Applications of Artificial Intelligence, 2025 - Elsevier
With the development of various artificial intelligence (AI)–based applications, detecting
anomalies and analyzing the root causes from massive data are critical to increasing the …

Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach

N Di Cicco, M Ibrahimi, F Musumeci… - … on Network and …, 2024 - ieeexplore.ieee.org
We consider the problem of classifying hardware failures in microwave networks given a
collection of alarms using Machine Learning (ML). While ML models have been shown to …