KAPETÁNIOS: Automated Kubernetes Adaptation through a Digital Twin
Author:
Affiliation:
1. Technical University of Munich
2. Rakuten Mobile Inc.
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9942444/9942470/09942649.pdf?arnumber=9942649
Reference12 articles.
1. Scikit-learn: Machine learning in Python;pedregosa;Journal of Machine Learning Research,2011
2. Machine Learning-Based Scaling Management for Kubernetes Edge Clusters
3. A digital twin network solution for end-to-end network service level agreement (sla) assurance [version 1; peer review: awaiting peer review];sun;The digital twin,2021
4. KubeKlone: A Digital Twin for Simulating Edge and Cloud Microservices;bhardwaj;Asia-Pacific Workshop on Networking (APNet 2022),0
5. ChaosTwin: A Chaos Engineering and Digital Twin Approach for the Design of Resilient IT Services
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1. Graph Attention Networks and Deep Q-Learning for Service Mesh Optimization: A Digital Twinning Approach;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. HyPA: Hybrid Horizontal Pod Autoscaling with Automated Model Updates;2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN);2023-11-07
3. Towards Digital Network Twins: Can we Machine Learn Network Function Behaviors?;2023 IEEE 9th International Conference on Network Softwarization (NetSoft);2023-06-19
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