1 citations · 1 across the 5 of their papers we have counts for
5 papers
Atomic Column Generation For Consensus Between Algorithms: Application to Path Computation
Sébastien Martin, Pierre Bauguion, Youcef Magnouche +1
In real-life applications, most optimization problems are variants of well-known combinatorial optimization problems, including additional constraints to fit with a particular use…
Safe Load Balancing in Software-Defined-Networking
Lam Dinh, Pham Tran Anh Quang, Jérémie Leguay
High performance, reliability and safety are crucial properties of any Software-Defined-Networking (SDN) system. Although the use of Deep Reinforcement Learning (DRL) algorithms ha…
Alternative paths computation for congestion mitigation in segment-routing networks
Sébastien Martin, Youcef Magnouche, Paolo Medagliani +1
In backbone networks, it is fundamental to quickly protect traffic against any unexpected event, such as failures or congestions, which may impact Quality of Service (QoS). Standar…
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement Learning
Lam Dinh, Pham Tran Anh Quang, Jérémie Leguay
Deep Reinforcement Learning (DRL) algorithms have recently made significant strides in improving network performance. Nonetheless, their practical use is still limited in the absen…
Virtual Multi-Topology Routing for QoS Constraints
Nicolas Huin, Sébastien Martin, Jérémie Leguay
Multi-topology routing (MTR) provides an attractive alternative to segment routing for traffic engineering when network devices cannot be upgraded. However, due to a high overhead…