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AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges

AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges

Qian Cheng
Doyen Sahoo
Amrita Saha
Wenjing Yang
Chenghao Liu
Gerald Woo
Manpreet Singh
Silvio Saverese
Guosheng Lin
ArXiv (abs)PDFHTML

Papers citing "AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges"

3 / 3 papers shown
Title
Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy
Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy
Lorena Poenaru-Olaru
June Sallou
Luís Cruz
Jan S. Rellermeyer
Arie van Deursen
30
0
0
16 Jun 2025
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native Systems
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native Systems
Qi. Wang
Xiao Zhang
Mingyi Li
Yuan Yuan
Mengbai Xiao
Fuzhen Zhuang
Dongxiao Yu
87
0
0
29 Apr 2025
AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios
AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios
Daksh Dave
Gauransh Sawhney
Dhruv Khut
Sahil Nawale
Pushkar Aggrawal
P. Bhavathankar
56
2
0
05 Nov 2023

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