Nicola Di Cicco

Orcid: 0000-0002-1524-8178

According to our database1, Nicola Di Cicco authored at least 23 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
2025
0
5
10
1
5
3
3
7
3
1

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
HephaestusForge: Optimal microservice deployment across the Compute Continuum via Reinforcement Learning.
Future Gener. Comput. Syst., 2025

2024
Machine Learning for Failure Management in Microwave Networks: A Data-Centric Approach.
IEEE Trans. Netw. Serv. Manag., October, 2024

ASAP Hardware Failure-Cause Identification in Microwave Networks Using Venn-Abers Predictors.
IEEE Trans. Netw. Serv. Manag., October, 2024

DeepLS: Local Search for Network Optimization Based on Lightweight Deep Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., February, 2024

COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modeling.
CoRR, 2024

Towards Generative Ray Path Sampling for Faster Point-to-Point Ray Tracing.
CoRR, 2024

Hollow-Core-Fiber Placement in Latency-Constrained Metro Networks with edgeDCs.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Efficient Microservice Deployment in Kubernetes Multi-Clusters through Reinforcement Learning.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Power Consumption-Aware 5G Edge UPF Selection using Deep Reinforcement Learning.
Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2024

Recovering Missing Monitoring Data to Enhance Service Provisioning in the Edge-to-Cloud Continuum.
Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024

Joint QoT-Aware Optimization of OTN and WDM Layers for Low-Cost Optical Metro Networks.
Proceedings of the IEEE International Conference on Communications, 2024

Resource-Efficient Implementation of Multiple Concurrent Tree-Based Models in P4 Switches using Feature Sharing.
Proceedings of the 20th International Conference on Network and Service Management, 2024

Multi-Objective Scheduling and Resource Allocation of Kubernetes Replicas Across the Compute Continuum.
Proceedings of the 20th International Conference on Network and Service Management, 2024

2023
Minimizing the cost of hierarchical optical transport network traffic grooming boards in metro networks.
J. Opt. Commun. Netw., October, 2023

Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service.
IEEE Commun. Mag., 2023

Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation.
IEEE Commun. Mag., 2023

Poster: Continual Network Learning.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

DRL-FORCH: A Scalable Deep Reinforcement Learning-based Fog Computing Orchestrator.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

Uncertainty-Aware QoT Forecasting in Optical Networks with Bayesian Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2023

2022
Selective hybrid EDFA/Raman amplifier placement to mitigate lightpath degradation in (C + L) networks.
JOCN, 2022

Optimization over time of reliable 5G-RAN with network function migrations.
Comput. Networks, 2022

Explainable Artificial Intelligence in communication networks: A use case for failure identification in microwave networks.
Comput. Networks, 2022

2021
Scalable Multi-objective Optimization of Reliable Latency-constrained Optical Transport Networks.
Proceedings of the 17th International Conference on the Design of Reliable Communication Networks, 2021


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