Paper Info
Title
CloudRCA: A Root Cause Analysis Framework for Cloud Computing Platforms
Abstract
ABSTRACTAs business of Alibaba expands across the world among various industries, higher standards are imposed on the service quality and reliability of big data cloud computing platforms which constitute the infrastructure of Alibaba Cloud. However, root cause analysis in these platforms is non-trivial due to the complicated system architecture. In this paper, we propose a root cause analysis framework called CloudRCA which makes use of heterogeneous multi-source data including Key Performance Indicators (KPIs), logs, as well as topology, and extracts important features via state-of-the-art anomaly detection and log analysis techniques. The engineered features are then utilized in a Knowledge-informed Hierarchical Bayesian Network (KHBN) model to infer root causes with high accuracy and efficiency. Ablation study and comprehensive experimental comparisons demonstrate that, compared to existing frameworks, CloudRCA 1) consistently outperforms existing approaches in f1-score across different cloud systems; 2) can handle novel types of root causes thanks to the hierarchical structure of KHBN; 3) performs more robustly with respect to algorithmic configurations; and 4) scales more favorably in the data and feature sizes. Experiments also show that a cross-platform transfer learning mechanism can be adopted to further improve the accuracy by more than 10%. CloudRCA has been integrated into the diagnosis system of Alibaba Cloud and employed in three typical cloud computing platforms including MaxCompute, Realtime Compute and Hologres. It saves Site Reliability Engineers (SREs) more than 20% in the time spent on resolving failures in the past twelve months and improves service reliability significantly.
Year
DOI
Venue
2021
10.1145/3459637.3481903
Conference on Information and Knowledge Management
DocType
ISSN
Citations 
Conference
30th ACM International Conference on Information and Knowledge Management (CIKM 2021)
1
PageRank 
References 
Authors
0.40
0
10
Name
Order
Citations
PageRank
Yingying Zhang151.27
Zhengxiong Guan210.40
Huajie Qian310.73
Leili Xu410.40
Hengbo Liu510.40
Qingsong Wen610.73
Liang Sun750024.61
Junwei Jiang810.40
Lunting Fan910.40
Min Ke1050.94