no code implementations • 27 Sep 2021 • José Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
We propose to demonstrate a network slice placement optimization solution based on Deep Reinforcement Learning (DRL), referred to as Heuristically-controlled DRL, which uses a heuristic to control the DRL algorithm convergence.
no code implementations • 5 Aug 2021 • Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
The evaluation of the impact of using Machine Learning in the management of softwarized networks is considered in multiple research works.
no code implementations • 5 Aug 2021 • Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
We consider online learning for optimal network slice placement under the assumption that slice requests arrive according to a non-stationary Poisson process.
no code implementations • 3 Aug 2021 • Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
We present a hybrid ML-heuristic approach that we name "Heuristically Assisted Deep Reinforcement Learning (HA-DRL)" to solve the problem of Network Slice Placement Optimization.
no code implementations • 14 May 2021 • Jose Jurandir Alves Esteves, Amina Boubendir, Fabrice Guillemin, Pierre Sens
Network Slice placement with the problem of allocation of resources from a virtualized substrate network is an optimization problem which can be formulated as a multiobjective Integer Linear Programming (ILP) problem.
no code implementations • 18 May 2020 • Alkesh Yadav, Quentin Vagne, Pierre Sens, Garud Iyengar, Madan Rao
In this paper, we quantitatively analyse the tradeoffs between the number of cisternae and the number and specificity of enzymes, in order to synthesize a prescribed target glycan distribution of a certain complexity.
2 code implementations • 20 Apr 2019 • Gert-Jan Both, Subham Choudhury, Pierre Sens, Remy Kusters
We introduce DeepMoD, a Deep learning based Model Discovery algorithm.