Guillaume Fraysse - researchr alias

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Viewing Publication 1 - 6 from 6

2023

Integrating state prediction into the Deep Reinforcement Learning for the Autoscaling of Core Network FunctionsYoichi Matsuo, Jatinder Singh, Shantanu Verma, Guillaume Fraysse. noms 2023: 1-5 [doi]

Autoscaling Packet Core Network Functions with Deep Reinforcement LearningJatinder Singh, Shantanu Verma, Yoichi Matsuo, Francesca Fossati, Guillaume Fraysse. noms 2023: 1-6 [doi]

2020

Distributed resource allocation for virtual networks. (Allocation distribuée de ressources pour les réseaux virtuels)Guillaume Fraysse. PhD thesis, Pierre and Marie Curie University, Paris, France, 2020. [doi]

A Resource Usage Efficient Distributed Allocation Algorithm for 5G Service Function ChainsGuillaume Fraysse, Jonathan Lejeune, Julien Sopena, Pierre Sens 0001. dais 2020: 169-185 [doi]

2018

Towards multi-SDN services: Dangers of concurrent resource allocation from multiple providersGuillaume Fraysse, Imen Grida Ben Yahia, Jonathan Lejeune, Pierre Sens, Julien Sopena. icin 2018: 1-5 [doi]

Mapping the allocation of resources for 5G slices to the k-MUTEX with n instances of m resources problemGuillaume Fraysse, Jonathan Lejeune, Julien Sopena, Pierre Sens. cnsm 2018: 318-322 [doi]

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