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Recently, AIOps (Artificial Intelligence for IT Operations) has been well studied in academia and industry to enable automated and effective software service management.
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Experience report on applying software analytics in incident management of online service
Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, and Tao Xie. 2017 · 2017
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NetManAIOps/KPI-Anomaly-Detection: 2018AIOps: The 1st Match for AIOps
2018 · 2018
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Rapid deployment of anomaly detection models for large number of emerging kpi streams. In IPCCC 2018
Jiahao Bu, Ying Liu, Shenglin Zhang, Weibin Meng, Qitong Liu, Xiaotian Zhu, and Dan Pei. [n.d.] · 2018
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Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-Service Environments. In ICSOC 2018 , Claus Pahl, Maja Vukovic, Jianwei Yin, and Qi Yu (Eds.)
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Predicting Node failure in cloud service systems. In FSE 2018
Qingwei Lin, Ken Hsieh, Yingnong Dang, Hongyu Zhang, Kaixin Sui, Yong Xu, Jian-Guang Lou, Chenggang Li, Youjiang Wu, Randolph Yao, et al · 2018
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HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes
Yongqian Sun, Youjian Zhao, Ya Su, Dapeng Liu, Xiaohui Nie, Yuan Meng, Shiwen Cheng, Dan Pei, Shenglin Zhang, Xianping Qu, and Xuanyou Guo. 2018 · 2018
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Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications. In WWW 2018
Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, and Honglin Qiao. 2018a · 2018
Cited alongside, same era.
Improving service availability of cloud systems by predicting disk error. In ATC 2018
Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, et al · 2018
Cited alongside, same era.
NetManAIOps/MultiDimension-Localization: 2019AIOps: The 2nd Match for AIOps
2019 · 2019
Cited alongside, same era.
An empirical investigation of incident triage for online service systems. In ICSE-SEIP 2019
Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang. 2019a · 2019
Cited alongside, same era.
Continuous incident triage for large-scale online service systems. In ASE 2019
Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, and Dongmei Zhang. 2019b · 2019
AutoMAP: Diagnose Your Microservice-Based Web Applications Automatically. In WWW 2020
Meng Ma, Jingmin Xu, Yuan Wang, Pengfei Chen, Zonghua Zhang, and Ping Wang. 2020a · 2020
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Diagnosing root causes of intermittent slow queries in cloud databases
Minghua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, et al · 2020
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Multi-Dimensional Impact Detection and Diagnosis in Cellular Networks. In 2020 16th International Conference on Mobility, Sensing and Networking (MSN)
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ImpAPTr: A Tool For Identifying The Clues To Online Service Anomalies. In ASE 2020
H. Wang, G. Rong, Y. Xu, and Y. You. 2020 · 2020
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Real-time incident prediction for online service systems. In FSE 2020
Nengwen Zhao, Junjie Chen, Zhou Wang, Xiao Peng, Gang Wang, Yong Wu, Fang Zhou, Zhen Feng, Xiaohui Nie, Wenchi Zhang, et al · 2020
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Cited alongside, same era.
Outage Prediction and Diagnosis for Cloud Service Systems. In WWW 2019
Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, et al · 2019
Cited alongside, same era.
Generic and Robust Localization of Multi-Dimensional Root Causes. In ISSRE 2019
Zeyan Li, Chengyang Luo, Yiwei Zhao, Yongqian Sun, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, and Dan Pei. 2019 · 2019
Cited alongside, same era.
FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation. In ISSRE 2019
Ping Liu, Yu Chen, Xiaohui Nie, Jing Zhu, Shenglin Zhang, Kaixin Sui, Ming Zhang, and Dan Pei. 2019 · 2019
Cited alongside, same era.
Gartner: How to Get Started With AIOps
Susan Moore. 2019 · 2019
Cited alongside, same era.
Time-series anomaly detection service at microsoft. In KDD 2019
Hansheng Ren, Bixiong Xu, Yujing Wang, Chao Yi, Congrui Huang, Xiaoyu Kou, Tony Xing, Mao Yang, Jie Tong, and Qi Zhang. 2019 · 2019
Cited alongside, same era.
Cross-dataset time series anomaly detection for cloud systems. In ATC 2019
Xu Zhang, Junghyun Kim, Qingwei Lin, Keunhak Lim, Shobhit O Kanaujia, Yong Xu, Kyle Jamieson, Aws Albarghouthi, Si Qin, Michael J Freedman, et al · 2019
Cited alongside, same era.
Label-Less: A Semi-Automatic Labelling Tool for KPI Anomalies. In INFOCOM 2019
Nengwen Zhao, Jing Zhu, Rong Liu, Dapeng Liu, Ming Zhang, and Dan Pei. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
ModelCoder: A Fault Model Based Automatic Root Cause Localization Framework for Microservice Systems. In IWQoS 2021
Yang Cai, Biao Han, Jie Li, Na Zhao, and Jinshu Su. 2021 · 2021
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Sage: Practical and Scalable ML-Driven Performance Debugging in Microservices. In ASPLOS 2021
Yu Gan, Mingyu Liang, Sundar Dev, David Lo, and Christina Delimitrou. 2021 · 2021
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AutoRoot: A Novel Fault Localization Schema of Multi-Dimensional Root Causes. In WCNC 2021
Pengkun Jing, Yanni Han, Jiyan Sun, Tao Lin, and Yanjie Hu. 2021 · 2021
Later among the works it cites.
Practical Root Cause Localization for Microservice Systems via Trace Analysis. In IWQoS 2021
Zeyan Li, Junjie Chen, Rui Jiao, Nengwen Zhao, Zhijun Wang, Shuwei Zhang, Yanjun Wu, Long Jiang, Leiqin Yan, Zikai Wang, Zhekang Chen, Wenchi Zhang, Xiaohui Nie, Kaixin Sui, and Dan Pei. 2021 · 2021
Later among the works it cites.
{ \{ Jump-Starting } \} Multivariate Time Series Anomaly Detection for Online Service Systems. In ATC 2021
Minghua Ma, Shenglin Zhang, Junjie Chen, Jim Xu, Haozhe Li, Yongliang Lin, Xiaohui Nie, Bo Zhou, Yong Wang, and Dan Pei. 2021 · 2021
Later among the works it cites.
A Survey of AIOps Methods for Failure Management
Paolo Notaro, Jorge Cardoso, and Michael Gerndt. 2021 · 2021
Later among the works it cites.
MicroDiag: Fine-Grained Performance Diagnosis for Microservice Systems. In ICSE21 Workshop on Cloud Intelligence . 7
Li Wu, Johan Tordsson, Jasmin Bogatinovski, Erik Elmroth, and Odej Kao. 2021 · 2021
Later among the works it cites.
MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments. In WWW 2021
Guangba Yu, Pengfei Chen, Hongyang Chen, Zijie Guan, Zicheng Huang, Linxiao Jing, Tianjun Weng, Xinmeng Sun, and Xiaoyun Li. 2021 · 2021
Later among the works it cites.
HALO: Hierarchy-Aware Fault Localization for Cloud Systems. In KDD 2021
Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, and Dongmei Zhang. 2021 · 2021
Later among the works it cites.
AIOps Workshop
2022 · 2022
Closest in time.
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, Yongqiang Yang, and Michael R. Lyu. 2022 · 2022
Closest in time.
Automated IT system failure prediction: A deep learning approach. In Big Data 2022
Ke Zhang, Jianwu Xu, Martin Renqiang Min, Guofei Jiang, Konstantinos Pelechrinis, and Hui Zhang. 2016 · 2022
Closest in time.