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[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 …
workload management to workloads consolidated via virtualization and, in the next iteration …
AI-driven container security approaches for 5G and beyond: A survey
The rising use of microservices based software deployment on the cloud leverages
containerized software extensively. The security of applications running inside containers as …
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 …
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 …
computing and containerized applications. Google developed it, and the Cloud Native …