Reinforcement learning for communication load balancing: approaches and challenges
The amount of cellular communication network traffic has increased dramatically in recent
years, and this increase has led to a demand for enhanced network performance …
years, and this increase has led to a demand for enhanced network performance …
Software Defined Wide Area Networks: Current Challenges and Future Perspectives
Software Defined Wide Area Network (SD-WAN) is rapidly becoming an attractive solution
for enterprise networks as it offers several benefits such as cost efficiency, increased …
for enterprise networks as it offers several benefits such as cost efficiency, increased …
Scalable reinforcement learning for dynamic overlay selection in SD-WANs
SD-WAN promises distributed enterprises to satisfy their dynamic communication
requirements over the public Internet with a substantial cost reduction and enhanced …
requirements over the public Internet with a substantial cost reduction and enhanced …
Towards safe load balancing based on control barrier functions and deep reinforcement learning
Deep Reinforcement Learning (DRL) algorithms have recently made significant strides in
improving network performance. Nonetheless, their practical use is still limited in the …
improving network performance. Nonetheless, their practical use is still limited in the …
[HTML][HTML] Adaptive overlay selection at the SD-WAN edges: A reinforcement learning approach with networked agents
Abstract Software-Defined Wide Area Networks (SD-WANs) have emerged as a promising
solution to address the connectivity demands of modern distributed enterprises. However …
solution to address the connectivity demands of modern distributed enterprises. However …
O-DQR: A Multi-Agent Deep Reinforcement Learning for Multihop Routing in Overlay Networks
This paper addresses the problem of dynamic packet routing in overlay networks using a
fully decentralized MA-DRL. Overlay networks are built by having a virtual topology on top of …
fully decentralized MA-DRL. Overlay networks are built by having a virtual topology on top of …
Safe load balancing in software-defined-networking
High performance, reliability and safety are crucial properties of any Software-Defined-
Networking (SDN) system. Although the use of Deep Reinforcement Learning (DRL) …
Networking (SDN) system. Although the use of Deep Reinforcement Learning (DRL) …
Path Planning Model Based on Constrained Policy Iteration
X Zhang, Y Xu, Y Chen, D Li - 2022 41st Chinese Control …, 2022 - ieeexplore.ieee.org
With the increasing severity of traffic congestion, the frequency of traffic emergencies has
also increased. When an emergency occurs, it is necessary to send a large number of …
also increased. When an emergency occurs, it is necessary to send a large number of …