Collation of related papers on root cause analysis

Dimension search ： From multidimensional indicators , Mining abnormal indicator dimensions .

It mainly includes Hotspot、iDice etc.

1、 Sun Y, Zhao Y, Su Y, et al. Hotspot: Anomaly localization for additive kpis with multi-dimensional attributes[J]. IEEE Access, 2018, 6: 10909-10923.

• Address of thesis ：https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8288614

2、Lin Q, Lou J G, Zhang H, et al. iDice: problem identification for emerging issues[C]//Proceedings of the 38th International Conference on Software Engineering. 2016: 214-224.

• Address of thesis ：https://dl.acm.org/doi/pdf/10.1145/2884781.2884795

Based on index similarity correlation / Random walk algorithm , Build a diagram .

It mainly includes MS-rank、Automap、Microrca etc.

1、Ma M, Lin W, Pan D, et al. Ms-rank: Multi-metric and self-adaptive root cause diagnosis for microservice applications[C]//2019 IEEE International Conference on Web Services (ICWS). IEEE, 2019: 60-67.

• Address of thesis ：https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8818432

2、Ma M, Xu J, Wang Y, et al. Automap: Diagnose your microservice-based web applications automatically[C]//Proceedings of The Web Conference 2020. 2020: 246-258.

• Address of thesis ：https://dl.acm.org/doi/pdf/10.1145/3366423.3380111

3、Meng Y, Zhang S, Sun Y, et al. Localizing failure root causes in a microservice through causality inference[C]//2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS). IEEE, 2020: 1-10.

• Address of thesis ：https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9213058

4、Qiu J, Du Q, Yin K, et al. A causality mining and knowledge graph based method of root cause diagnosis for performance anomaly in cloud applications[J]. Applied Sciences, 2020, 10(6): 2166.

• Address of thesis ：https://www.mdpi.com/2076-3417/10/6/2166/htm

5、Wu L, Tordsson J, Elmroth E, et al. Microrca: Root cause localization of performance issues in microservices[C]//NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium. IEEE, 2020: 1-9.

• Address of thesis ：https://hal.inria.fr/hal-02441640/document

Topological relation based on call chain , Identify root cause

1、Liu P, Xu H, Ouyang Q, et al. Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks[C]//2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE). IEEE, 2020: 48-58.

• Address of thesis ：https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9251058

2、Brandón Á, Solé M, Huélamo A, et al. Graph-based root cause analysis for service-oriented and microservice architectures[J]. Journal of Systems and Software, 2020, 159: 110432.

• Address of thesis ：https://www.sciencedirect.com/science/article/abs/pii/S0164121219302067

3、Cai Z, Li W, Zhu W, et al. A Real-Time Trace-Level Root-Cause Diagnosis System in Alibaba Datacenters[J]. IEEE Access, 2019, 7: 142692-142702.

• Address of thesis ：https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8852648