Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems-Reference-Cited by-同舟云学术

Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems

Published:2022-10-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering
language:
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Author:

He Zilong¹,Chen Pengfei¹,Luo Yu²,Yan Qiuyu²,Chen Hongyang¹,Yu Guangba¹,Li Fangyuan²

Affiliation:

1. School of Computer Science and Engineering, Sun Yat-sen University, China

2. Tencent Inc., China

Funder

the National Natural Science Foundation of China

the Natural Science Foundation of Guangdong Province

the Wechat Rhino-Bird Joint Research Program

the Key-Area Research and Development Program of Guangdong Province

the Basic and Applied Basic Research of Guangzhou

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3551349.3556904

Reference63 articles.

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2. 2021. Google Cloud: Data incident response process. https://services.google.com/fh/files/misc/data_incident_response_2018.pdf 2021. Google Cloud: Data incident response process. https://services.google.com/fh/files/misc/data_incident_response_2018.pdf

3. 2022. 3-sigma rule. https://en.wikipedia.org/wiki/68-95-99.7_rule 2022. 3-sigma rule. https://en.wikipedia.org/wiki/68-95-99.7_rule

4. 2022. ChaosBlade. https://github.com/chaosblade-io/chaosblade 2022. ChaosBlade. https://github.com/chaosblade-io/chaosblade

5. 2022. Istio. https://istio.io/ 2022. Istio. https://istio.io/

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