Guillaume Fraysse

According to our database, Guillaume Fraysse authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Real-Time Encrypted Traffic Classification in Programmable Networks with P4 and Machine Learning.

Aristide Tanyi-Jong Akem, Guillaume Fraysse, Marco Fiore

Int. J. Netw. Manag., 2025

Adaptive Control Policies for Core Network Autoscaling with Meta-RL.

Shantanu Verma, Abhishek Gupta, Jatinder Singh, José Manuel Sánchez-Vílchez, Guillaume Fraysse

Proceedings of the 21st International Conference on Network and Service Management, 2025

2024

A mixture of experts regression model for functional response with functional covariates.

Jean Steve Tamo Tchomgui, Julien Jacques, Guillaume Fraysse, Vincent Barriac, Stéphane Chrétien

Stat. Comput., October, 2024

Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning.

Aristide Tanyi-Jong Akem, Guillaume Fraysse, Marco Fiore

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Generating Commit Messages for Configuration Files in 5G Network Deployment Using LLMs.

Beining Yang, Alassane Samba, Guillaume Fraysse, Sihem Cherrared

Proceedings of the 20th International Conference on Network and Service Management, 2024

Functional Linear Regression for the prediction of streaming video QoE.

Jean Steve Tamo Tchomgui, Vincent Barriac, Guillaume Fraysse, Julien Jacques, Stéphane Chrétien

Proceedings of the 20th International Conference on Network and Service Management, 2024

Safe RL for Core Network autoscaling.

Xinqi Long, Guillaume Fraysse

Proceedings of the 20th International Conference on Network and Service Management, 2024

2023

Autoscaling Packet Core Network Functions with Deep Reinforcement Learning.

Jatinder Singh, Shantanu Verma, Yoichi Matsuo, Francesca Fossati, Guillaume Fraysse

Proceedings of the NOMS 2023, 2023

Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network Functions.

Yoichi Matsuo, Jatinder Singh, Shantanu Verma, Guillaume Fraysse

Proceedings of the NOMS 2023, 2023

2020

Distributed resource allocation for virtual networks. (Allocation distribuée de ressources pour les réseaux virtuels).

Guillaume Fraysse

PhD thesis, 2020

A Resource Usage Efficient Distributed Allocation Algorithm for 5G Service Function Chains.

Guillaume Fraysse, Jonathan Lejeune, Julien Sopena, Pierre Sens

Proceedings of the Distributed Applications and Interoperable Systems, 2020

2018

Towards multi-SDN services: Dangers of concurrent resource allocation from multiple providers.

Guillaume Fraysse, Imen Grida Ben Yahia, Jonathan Lejeune, Pierre Sens, Julien Sopena

Proceedings of the 21st Conference on Innovation in Clouds, 2018

Mapping the allocation of resources for 5G slices to the k-MUTEX with n instances of m resources problem.

Guillaume Fraysse, Jonathan Lejeune, Julien Sopena, Pierre Sens

Proceedings of the 14th International Conference on Network and Service Management, 2018