Generic and robust root cause localization for multi-dimensional data in online service systems-Reference-Cited by-同舟云学术

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Generic and robust root cause localization for multi-dimensional data in online service systems

Published:2023-09 Issue: Volume:203 Page:111748
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Li Zeyan^ORCID,Chen Junjie,Chen Yihao,Luo Chengyang,Zhao Yiwei,Sun Yongqian,Sui Kaixin,Wang Xiping,Liu Dapeng,Jin Xing,Wang Qi,Pei Dan

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference48 articles.

1. Detecting and localizing end-to-end performance degradation for cellular data services based on TCP loss ratio and round trip time;Ahmed;IEEE/ACM Trans. Netw.,2017

2. Amazon Prime Day issues estimated to cost $72 million to $99 million - Business Insider,2018

3. Adtributor: Revenue debugging in advertising systems;Bhagwan,2014

4. Automatically analyzing groups of crashes for finding correlations;Castelluccio,2017

5. Chaos-Mesh/Chaos-Mesh,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PatternRCA: A Pattern-Aware Root Cause Analysis Framework for Multi-Dimensional Time Series;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

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