PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series-Reference-Cited by-同舟云学术

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PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series

Published:2023-12-01 Issue: Volume:abs/2205.10004 Page:1583-1592
ISSN:
Container-title:2023 IEEE International Conference on Data Mining (ICDM)
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Author:

He Cheng¹,Tian Fulong¹,Xue Peijiao¹,Wu Yuan¹,Li Yao¹,Li Jiajia²,Wang Zikai³,Tan Feng³,Chen Hongyang⁴,Kong Linghe⁵

Affiliation:

1. Di-Matrix (Shanghai) Information Technology Co., Ltd,Shanghai,China

2. School of Chemistry and Chemical Engineering, National Center for Translational Medicine, Shanghai Jiao Tong University,Shanghai,China

3. Shanghai Artificial Intelligence Research Institute,Shanghai,China

4. Research Center for Graph Computing,Zhejiang Lab,China

5. Shanghai Jiao Tong University,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415628/10415561/10449674.pdf?arnumber=10449674

Reference32 articles.

1. Straggler Root-Cause and Impact Analysis for Massive-scale Virtualized Cloud Datacenters

2. Efficient incident identification from multi-dimensional issue reports via meta-heuristic search

3. AutoRoot: A Novel Fault Localization Schema of Multi-dimensional Root Causes

4. Riskloc: Localization of multi-dimensional root causes by weighted risk;Kalander;CoRR,2022

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