This work investigates the computational footprint of containerized 5G components deployed on a virtualized infrastructure, and leverages this profiling to propose an intelligent orchestration mechanism to maximize both the capacity offered to mobile network users and resource availability to application level services...
Gaetano Francesco Pittalà, G. Davoli, Walter Cerroni et al.· IEEE Conference on Network S...· 0 citations
Modern cloud-native applications increasingly rely on Kubernetes to orchestrate large-scale, heterogeneous workloads. However, experimenting with its cluster-level mechanisms in a scalable way, such as its diverse scheduling policies, remains difficult in production environments due to operational costs and limited obs...
José Santos, D. Borsatti, Walter Cerroni et al.· IEEE Conference on Network S...· 0 citations
Efficient workload scheduling is central to the performance, scalability, and cost-effectiveness of modern clouds. In the most popular cloud platform today, Kubernetes (K8s), the scheduler can be extended with multiple scheduling plugins, enabling fine-grained control over scheduling decisions. However, cloud providers...
José Santos, D. Borsatti, Walter Cerroni et al.· IEEE Conference on Network S...· 1 citation
The evolution towards 6G edge-cloud ecosystems demands autonomous, intent-based network management to handle unprecedented infrastructure complexity. While Large Language Models offer promising capabilities for translating high-level user intents into network configurations, current monolithic approaches suffer from co...
Raffaele Di Tommaso, G. Davoli, Pietro Spadaccino et al.· IEEE Conference on Network S...· 0 citations
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