Actionable and interpretable fault localization for recurring failures in online service systems

Author:

Li Zeyan1,Zhao Nengwen1,Li Mingjie1,Lu Xianglin1,Wang Lixin2,Chang Dongdong2,Nie Xiaohui3,Cao Li3,Zhang Wenchi3,Sui Kaixin3,Wang Yanhua2,Du Xu2,Duan Guoqiang2,Pei Dan1

Affiliation:

1. Tsinghua University, China

2. China Construction Bank, China

3. BizSeer, China

Publisher

ACM

Reference61 articles.

1. 2021. PyTorch: Tensors and Dynamic Neural Networks in Python with Strong GPU Acceleration. https://github.com/pytorch/pytorch 2021. PyTorch: Tensors and Dynamic Neural Networks in Python with Strong GPU Acceleration. https://github.com/pytorch/pytorch

2. 2021. Tsfresh. Blue Yonder GmbH. https://github.com/blue-yonder/tsfresh 2021. Tsfresh. Blue Yonder GmbH. https://github.com/blue-yonder/tsfresh

3. 2022. Chaos-Mesh/Chaos-Mesh. Chaos Mesh. https://github.com/chaos-mesh/chaos-mesh 2022. Chaos-Mesh/Chaos-Mesh. Chaos Mesh. https://github.com/chaos-mesh/chaos-mesh

4. 2022. DejaVu. NetManAIOps. https://github.com/NetManAIOps/DejaVu 2022. DejaVu. NetManAIOps. https://github.com/NetManAIOps/DejaVu

5. Network Dissection: Quantifying Interpretability of Deep Visual Representations

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