Discovering an optimal routing in Software Defined Networks (SDNs) is challenging due to
several factors like scalability issues, interoperability, reliability, poor configuration of …

Software-Defined Networking (SDN) enhances network control but faces Distributed Denial
of Service (DDoS) attacks due to centralized control and flow-table constraints in network …

Software-Defined Networks (SDN) is the nextgen network technology which helps in efficient
management of networks. The important concept underlying SDN is the separation of the …

Software Defined Networking (SDN) provides opportunities for flexible and dynamic traffic
engineering. However, in current SDN systems, routing strategies are based on traditional …

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

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 …

In order to realize a real-time and customizable routing optimization for software-defined
network (SDN), the deep reinforcement learning method is integrated to the routing process …

Routing algorithms play a vital role in network communication for information technology.
Classic networks usually exploit distributed routing algorithms which pave the way to issues …

Networking refers to the practise of sharing, transporting, and exchanging data between
nodes within a shared medium. Data traffic refers to the mass volume of data moving across …

The software-defined network is an architecture that controls and deals with the entire
network utilizing the control, the foundation layer, and the application layer. Traffic prediction …