A Holistic View of AI-driven Network Incident Management

Author:

Hamadanian Pouya1ORCID,Arzani Behnaz2ORCID,Fouladi Sadjad2ORCID,Kakarla Siva Kesava Reddy2ORCID,Fonseca Rodrigo3ORCID,Billor Denizcan4ORCID,Cheema Ahmad4ORCID,Nkposong Edet4ORCID,Chandra Ranveer2ORCID

Affiliation:

1. MIT

2. Microsoft Research

3. Azure Systems Research

4. Microsoft

Publisher

ACM

Reference57 articles.

1. Toufique Ahmed , Supriyo Ghosh , Chetan Bansal , Thomas Zimmermann , Xuchao Zhang , and Saravan Rajmohan . 2023. Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. (2023). arXiv:cs.SE/2301.03797 https://arxiv.org/abs/2301.03797 ICSE'23 . Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, and Saravan Rajmohan. 2023. Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. (2023). arXiv:cs.SE/2301.03797 https://arxiv.org/abs/2301.03797 ICSE'23.

2. Risk based planning of network changes in evolving data centers

3. Abdullah Alomar , Pouya Hamadanian , Arash Nasr-Esfahany , Anish Agarwal , Mohammad Alizadeh , and Devavrat Shah . 2023 . CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23) . USENIX Association, Boston, MA, 1115--1147. https://www.usenix.org/conference/nsdi23/presentation/alomar Abdullah Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, and Devavrat Shah. 2023. CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23). USENIX Association, Boston, MA, 1115--1147. https://www.usenix.org/conference/nsdi23/presentation/alomar

4. Behnaz Arzani Kevin Hsieh and Haoxian Chen. 2021. Interpret-able feedback for AutoML systems. (2021). arXiv:cs.LG/2102.11267 https://arxiv.org/abs/2102.11267 Behnaz Arzani Kevin Hsieh and Haoxian Chen. 2021. Interpret-able feedback for AutoML systems. (2021). arXiv:cs.LG/2102.11267 https://arxiv.org/abs/2102.11267

5. Microsoft Azure. 2023. Post Incident Review (PIR) -- Azure Networking -- Global WAN issues. (2023). https://azure.status.microsoft/en-us/status/history/ https://azure.status.microsoft/en-us/status/history/ Accessed: 2023-06-26. Microsoft Azure. 2023. Post Incident Review (PIR) -- Azure Networking -- Global WAN issues. (2023). https://azure.status.microsoft/en-us/status/history/ https://azure.status.microsoft/en-us/status/history/ Accessed: 2023-06-26.

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