Detection Is Better Than Cure: A Cloud Incidents Perspective-Reference-Cited by-同舟云学术

Detection Is Better Than Cure: A Cloud Incidents Perspective

Published:2023-11-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
language:
Short-container-title:

Author:

Ganatra Vaibhav¹,Parayil Anjaly¹,Ghosh Supriyo¹,Kang Yu²,Ma Minghua²,Bansal Chetan³,Nath Suman³,Mace Jonathan⁴

Affiliation:

1. Microsoft, Bangalore, India

2. Microsoft, Beijing, China

3. Microsoft, Redmond, USA

4. Microsoft, Redmond, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611643.3613898

Reference49 articles.

1. Mining association rules between sets of items in large databases

2. Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

3. Ahmed Alquraan , Hatem Takruri , Mohammed Alfatafta , and Samer Al-Kiswany . 2018 . An Analysis of {Network-Partitioning} Failures in Cloud Systems . In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) . 51-68. https://www.usenix.org/system/files/osdi18-alquraan.pdf Ahmed Alquraan, Hatem Takruri, Mohammed Alfatafta, and Samer Al-Kiswany. 2018. An Analysis of {Network-Partitioning} Failures in Cloud Systems. In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18). 51-68. https://www.usenix.org/system/files/osdi18-alquraan.pdf

4. Taking the Blame Game out of Data Centers Operations with NetPoirot

5. Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services

Cited by 6 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. Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. X-Lifecycle Learning for Cloud Incident Management using LLMs;Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering;2024-07-10

3. Dependency Aware Incident Linking in Large Cloud Systems;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

4. Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Automatic Root Cause Analysis via Large Language Models for Cloud Incidents;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22