データソースとして、複数のモーダル（メトリクス、ログ、トレースなど）を用いた[[AIOps]] Failure Management論文。 ## Failure Detection - [[2024__TSC__UAC-AD - Unsupervised Adversarial Contrastive Learning for Anomaly Detection on Multi-modal Data in Microservice Systems]] - [[2023__ASE__Twin Graph-based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System]] - [[2023__KDD__Robust Multimodal Failure Detection for Microservice Systems]] - [[2022__ICWS__Deep Attentive Anomaly Detection for Microservice Systems with Multimodal Time-Series Data]] - [[2021__ESEC_FSE__Identifying Bad Software Changes via Multimodal Anomaly Detection for Online Service Systems]] ## Fault Localization - [[2025__TSEM__TVDiag - A Task-oriented and View-invariant Failure Diagnosis Framework for Microservice-based Systems with Multimodal Data]] - TAMO: [[2025__arXiv__TAMO - Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data]] - MRCA: [[2024__ASE__MRCA - Metric-level Root Cause Analysis for Microservices via Multi-Modal Data]] - OCEAN: [[2024__arXiv__Online Multi-modal Root Cause Analysis]] - HolisticRCA: [[2024__TSC__Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data]] - DeepHunt: [[2024__TOSEM__Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder]] - [[2024__ASE__Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization]] - [[2024__WWW__MULAN - Multi-modal Causal Structure Learning and Root Cause Analysis]] - [[2024__arXiv__TVDiag - A Task-oriented and View-invariant Failure Diagnosis Framework with Multimodal Data]] - [[2024__arXiv__CHASE - A Causal Heterogeneous Graph based Framework for Root Cause Analysis in Multimodal Microservice Systems]] - [[2024__arXiv__LEMMA-RCA - A Large Multi-modal Multi-domain Dataset for Root Cause Analysis]] - [[2023__ESEC-FSE__Nezha - Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-modal Observability Data]] - [[2023__TSC__Robust Failure Diagnosis of Microservice System through Multimodal Data]] - [[2022__arXiv__Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning]] ## Others - [[2025__FSE__A Multimodal Intelligent Change Assessment Framework for Microservice Systems Based on Large Language Models]]