In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …

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

Flow routing can achieve fine-grained network performance optimizations by routing distinct
packet traffic flows over different network paths. While the centralized control of Software …

The future network is expected to support extremely large bandwidth, ultra-low latency or
deterministic delay, extremely high reliability, and massive connectivity for novel forward …

Purpose This study explores challenges facing the applicability of deep learning (DL) in
software-defined networks (SDN) based campus networks. The study intensively explains …

Software-defined networking (SDN) routing based on reinforcement learning (RL) is a very
promising research topic in recent years, achieving better solutions comparing to traditional …

Traditional routing scheme cannot be applied in the dynamic and complex network
environment directly. Thus resulting in degraded performance. This paper proposes one …