Monitorassistant: Simplifying cloud service monitoring via large language models

Z Yu, M Ma, C Zhang, S Qin, Y Kang, C Bansal… - … Proceedings of the …, 2024 - dl.acm.org
In large-scale cloud service systems, monitoring metric data and conducting anomaly
detection is an important way to maintain reliability and stability. However, great disparity …

[HTML][HTML] An End-to-End Deep Learning Framework for Fault Detection in Marine Machinery

S Rigas, P Tzouveli, S Kollias - Sensors, 2024 - mdpi.com
The Industrial Internet of Things has enabled the integration and analysis of vast volumes of
data across various industries, with the maritime sector being no exception. Advances in …

Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features

W Gu, J Liu, Z Chen, J Zhang, Y Su, J Gu, C Feng… - ACM Transactions on … - dl.acm.org
Cloud systems, typically comprised of various components (eg, microservices), are
susceptible to performance issues, which may cause service-level agreement violations and …