Leveraging Large Language Models for the Auto-remediation of Microservice Applications - An Experimental Study
- Komal Sarda
- Zakeya Namrud
- et al.
- 2024
- ESEC/FSE 2024
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TELKA: Twin-Enhanced Learning for Kubernetes Applications
- Mattia Zaccarini
- Davide Borsatti
- et al.
- 2024
- ISCC 2024
Fault Localization Using Interventional Causal Learning for Cloud-Native Applications
- Saurabh Jha
- Jesus Rios Aliaga
- et al.
- 2024
- DSN 2024
KubePlaybook: A Repository of Ansible Playbooks for Kubernetes Auto-Remediation with LLMs (Data Artifact)
- Zakeya Namrud
- Komal Sarda
- et al.
- 2024
- ICPE 2024
Using Large Language Models to protect information search in Multi-Domain Operations
- Dinesh C. Verma
- David Beymer
- et al.
- 2024
- SPIE DCS 2024
Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach
- Lorenzo Manca
- Davide Borsatti
- et al.
- 2023
- CNSM 2023
Fault Injection Based Interventional Causal Learning for Distributed Applications
- Qing Wang
- Jesus Rios
- et al.
- 2023
- IAAI 2023
Rethinking Data-driven Networking with Foundation Models: Challenges and Opportunities
- Franck Le
- Mudhakar Srivatsa
- et al.
- 2022
- HotNets 2022
Metadata-based retrieval for resolution recommendation in AIOps
- Harshit Kumar
- Ruchi Mahindru
- et al.
- 2022
- ESEC/FSE 2022
Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services
- Amar Prakash Azad
- Supriyo Ghosh
- et al.
- 2022
- IAAI 2022