Alessio Sacco

Orcid: 0000-0003-2835-5455

Affiliations:
  • Politecnico di Torino, Turin, Italy


According to our database1, Alessio Sacco authored at least 36 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
NAIL: A Network Management Architecture for Deploying Intent into Programmable Switches.
IEEE Commun. Mag., June, 2024

Load Profiling via In-Band Flow Classification and P4 With Howdah.
IEEE Trans. Netw. Serv. Manag., February, 2024

Delay-Aware Routing in Software-Defined Networks via Network Tomography and Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2024

A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions.
CoRR, 2024

Inferring Visibility of Internet Traffic Matrices Using eXplainable AI.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Latency-aware Scheduling in the Cloud-Edge Continuum.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 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

2023
Completing and Predicting Internet Traffic Matrices Using Adversarial Autoencoders and Hidden Markov Models.
IEEE Trans. Netw. Serv. Manag., September, 2023

Partially Oblivious Congestion Control for the Internet via Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., June, 2023

Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions.
IEEE J. Biomed. Health Informatics, February, 2023

P4FL: An Architecture for Federating Learning With In-Network Processing.
IEEE Access, 2023

Towards Autonomous Computer Networks in Support of Critical Systems.
Proceedings of the NOMS 2023, 2023

RLVNA: a Platform for Experimenting with Virtual Networks Adaptations over Public Testbeds.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

A Collaborative and Distributed Learning-Based Solution to Autonomously Plan Computer Networks.
Proceedings of the 26th Conference on Innovation in Clouds, Internet and Networks, 2023

HINT: Supporting Congestion Control Decisions with P4-driven In-Band Network Telemetry.
Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

Hide & Seek: Traffic Matrix Completion and Inference Using Hidden Information.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
A Self-Learning Strategy for Task Offloading in UAV Networks.
IEEE Trans. Veh. Technol., 2022

Restoring Application Traffic of Latency-Sensitive Networked Systems Using Adversarial Autoencoders.
IEEE Trans. Netw. Serv. Manag., 2022

NLP4: An Architecture for Intent-Driven Data Plane Programmability.
Proceedings of the 8th IEEE International Conference on Network Softwarization, 2022

Howdah: Load Profiling via In-Band Flow Classification and P4.
Proceedings of the 18th International Conference on Network and Service Management, 2022

2021
Sustainable Task Offloading in UAV Networks via Multi-Agent Reinforcement Learning.
IEEE Trans. Veh. Technol., 2021

Supporting Sustainable Virtual Network Mutations With Mystique.
IEEE Trans. Netw. Serv. Manag., 2021

Resource Inference for Sustainable and Responsive Task Offloading in Challenged Edge Networks.
IEEE Trans. Green Commun. Netw., 2021

Owl: Congestion Control with Partially Invisible Networks via Reinforcement Learning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

On Control and Data Plane Programmability for Data-Driven Networking.
Proceedings of the 22nd IEEE International Conference on High Performance Switching and Routing, 2021

EdgeEcho: An Architecture for Echocardiology at the Edge.
Proceedings of the 17th International Conference on Network and Service Management, 2021

2020
RoPE: An Architecture for Adaptive Data-Driven Routing Prediction at the Edge.
IEEE Trans. Netw. Serv. Manag., 2020

On Edge Computing for Remote Pathology Consultations and Computations.
IEEE J. Biomed. Health Informatics, 2020

An architecture for adaptive task planning in support of IoT-based machine learning applications for disaster scenarios.
Comput. Commun., 2020

Work-in-Progress: A Formal Approach to Verify Fault Tolerance in Industrial Network Systems.
Proceedings of the 16th IEEE International Conference on Factory Communication Systems, 2020

A Federated Learning Approach to Routing in Challenged SDN-Enabled Edge Networks.
Proceedings of the 6th IEEE Conference on Network Softwarization, 2020

A distributed reinforcement learning approach for energy and congestion-aware edge networks.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Resource Inference for Task Migration in Challenged Edge Networks with RITMO.
Proceedings of the 9th IEEE International Conference on Cloud Networking, 2020

2019
A Policy-Based Architecture for Container Migration in Software Defined Infrastructures.
Proceedings of the 5th IEEE Conference on Network Softwarization, 2019

LiveMicro: An Edge Computing System for Collaborative Telepathology.
Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing, 2019

APRON: an Architecture for Adaptive Task Planning of Internet of Things in Challenged Edge Networks.
Proceedings of the 2019 IEEE 8th International Conference on Cloud Networking, 2019


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