Abstract Knowledge-Defined networking (KDN) is a concept that relies on Software-Defined
networking (SDN) and Machine Learning (ML) in order to operate and optimize data …

In this paper, we investigate the task of quality of service (QoS) routing in software defined
networks (SDN). We consider delay, bandwidth, loss, and cost as QoS parameters. We …

Abstract Software Defined Networking (SDN) is gaining momentum not only in research but
also in IT industry representing the drivers of 5G networks, due to its capabilities of …

Traditional routing algorithms cannot dynamically change network environments due to the
limited information for routing decisions. Meanwhile, they are prone to performance …

Software-defined network (SDN) is an emerging computer networking technology that
disjoints the data forwarding from the centralized control and enables a highly manageable …

The centralization of network intelligence enabled by Software Defined Networking (SDN),
and the recent breakthroughs of Machine Learning (ML), paved the way to address a variety …

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 …

In recent years, as a new subject in the computer field, artificial intelligence has developed
rapidly, especially in reinforcement learning (RL) and deep reinforcement learning …

With the incremental deployment of software defined networking, the routing algorithms
have gained more power on observability and controllability. Deep reinforcement learning …

Emerging applications raise critical QoS requirements for the Internet. The improvements of
flow classification technologies, software defined networks (SDN), and programmable …