Software-Defined Networking (SDN) adapts logically-centralized control by decoupling
control plane from data plane and provides the efficient use of network resources. However …

Traditional routing protocols employ limited information to make routing decisions, which
leads to slow adaptation to traffic variability and restricted support to the quality of service …

Traditional routing schemes usually use fixed models for routing policies and thus are not
good at handling complicated and dynamic traffic, leading to performance degradation (eg …

This paper proposes DROM, a deep reinforcement learning mechanism for Software-
Defined Networks (SDN) to achieve a universal and customizable routing optimization …

Abstract In Software-Defined Networks (SDNs), determining how to efficiently achieve
Quality of Service (QoS)-aware routing is challenging but critical for significantly improving …

Software defined networking (SDN) is an emerging networking architecture that separates
the control plane from the data plane and moves network management to a central point …

Traditional routing protocols employ limited information to make routing decisions, which
can lead to a slow adaptation to traffic variability, as well as restricted support to the Quality …

Routing optimization has been researched in network design for a long time, and plenty of
optimization schemes have been proposed from both academia and industry. However …

The traditional routing method makes use of limited information on the network links to make
routing decisions, which makes it difficult to adapt to the dynamic and complex network and …

The past few years have witnessed a wide deployment of software defined networks
facilitating a separation of the control plane from the forwarding plane. However, the work on …