Deep learning based resource forecasting for 5G core network scaling in Kubernetes environment

Author:

Kuranage Menuka Perera Jayasuriya1,Nuaymi Loutfi1,Bouabdallah Ahmed1,Ferrandiz Thomas2,Bertin Philippe2

Affiliation:

1. IMT Atlantique/IRISA,France

2. B<> COM,France

Publisher

IEEE

Cited by 7 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. Cloud-Enabled Deployment of 5G Core Network with Analytics Features;Applied Sciences;2024-08-09

2. Early Warning of Core Network Capacity in Space-Terrestrial Integrated Networks;Journal of Systems Engineering and Electronics;2024-08

3. Exploring Resource Prediction Models Based on Custom Kubernetes Auto-scaling Metrics;2024 9th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA);2024-04-25

4. Resource-Aware Service Prioritization in a Slice-Supportive 5G Core Control Plane for Improved Resilience and Sustenance;2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06

5. Load Balancing Traffic Among Kubernetes Replicas by Utilizing Workload Estimation;2023 IEEE Conference on Standards for Communications and Networking (CSCN);2023-11-06

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