license: cc-by-nc-4.0
tags:
- root cause analysis
- microservice system
- multi-modal learning
- time series analysis
- log analysis
pretty_name: Cloud Computing Data
size_categories:
- 100M<n<1B
task_categories:
- time-series-forecasting
Data Description:
Both system metrics (json format) and log data (json format) were collected from Cloud Computing Platform with hundreds of system entities invovled. Six different types of real faults (including cryptojacking, silent pod degradation fault, malware attack, mistakes made by GitOps, configuration change failure, and bug infection) were simulated.
Citation:
Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, and Haifeng Chen: LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR abs/2406.05375 (2024)
References:
[1] Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen: MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. WWW 2024: 4107-4116.
[2] Dongjie Wang, Zhengzhang Chen, Jingchao Ni, Liang Tong, Zheng Wang, Yanjie Fu, Haifeng Chen: Interdependent Causal Networks for Root Cause Localization. KDD 2023: 5051-506.
[3]. Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen: Incremental Causal Graph Learning for Online Root Cause Analysis. KDD 2023: 2269-2278.
License:
cc-by-nc-4.0: NonCommercial — You can not use the data for commercial purposes.