Software-defined networks (SDNs) have been recognized as the next-generation
networking paradigm that decouples the data forwarding from the centralized control. To …

With an exponential increase in network traffic demands requiring quality of services, the
need for routing optimization has become more prominent. Recently, the advent of software …

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 …

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

In this paper, we propose a traffic-aware quality-of-service (QoS) routing scheme in software-
defined internet of things (SDIoT) network. The proposed scheme exploits the unique …

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 …

Software-defined networking (SDN) is an emerging architecture used in many applications
because of its flexible architecture. It is expected to become an essential enabler for the …

This paper introduces NeuRoute, a dynamic routing framework for Software Defined
Networks (SDN) entirely based on machine learning, specifically, Neural Networks. Current …

The Internet-of-Things (IoT) envisions a world where billions of everyday objects and mobile
devices communicate using a large number of interconnected wired and wireless networks …

Network management is becoming increasingly challenging with the relentless growth in
network size, traffic volume, and the diversity in QoS requirements. Traditionally, the concept …