[HTML][HTML] Evolving High-Performance Computing Data Centers with Kubernetes, Performance Analysis, and Dynamic Workload Placement Based on Machine Learning …

V Dakić, M Kovač, J Slovinac - Electronics, 2024 - mdpi.com
In the past twenty years, the IT industry has moved away from using physical servers for
workload management to workloads consolidated via virtualization and, in the next iteration …

AI-driven container security approaches for 5G and beyond: A survey

IT Aktolga, ES Kuru, Y Sever, P Angin - arxiv preprint arxiv:2302.13865, 2023 - arxiv.org
The rising use of microservices based software deployment on the cloud leverages
containerized software extensively. The security of applications running inside containers as …

[PDF][PDF] Anomaly Detection and Prediction on Kubernetes Resources

VGI Anemogiannis - 2023 - pergamos.lib.uoa.gr
In recent years, the deployment of software projects on cloud infrastructure managed
through Kubernetes has become commonplace. This trend has led to the management of …

[PDF][PDF] Efficient Resource Allocation in Kubernetes Using Machine Learning

SD Konidena - pdfs.semanticscholar.org
Kubernetes is a distinguished open-source container orchestration system in cloud
computing and containerized applications. Google developed it, and the Cloud Native …