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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12 results for Larisa Shwartz
SAM: Subseries Augmentation-based Meta-learning for Generalizing AIOps Model in Multi-Cloud Migration
- Xi Yang
- Paulito Palmes
- et al.
- 2024
- CLOUD 2024
Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains
- Yu Zhang
- Yunyi Zhang
- et al.
- 2024
- AAAI 2024
TraceWeaver: Distributed Request Tracing for Microservices Without Application Modification
- Sachin Ashok
- Vipul Harsh
- et al.
- 2024
- SIGCOMM 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
Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach
- Lorenzo Manca
- Davide Borsatti
- et al.
- 2023
- CNSM 2023
Leveraging AI in Service Automation Modeling: From Classical AI Through Deep Learning to Combination Models
- Qing Wang
- Larisa Shwartz
- et al.
- 2019
- ICSOC 2019
Exploring Large Language Models for Low-Resource IT Information Extraction
- Bhavya -
- Paulina Toro Isaza
- et al.
- 2023
- ICDM 2023
Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins
- Xi Yang
- Saurabh Jha
- et al.
- 2023
- CASCON 2023