As heterogeneous network system becomes more and more complex and diversified, it
brings the non-stationary and high burst characteristics of network traffic data, leading to …

With the rapid advance of industrial Internet of Things (IIoT), to provide flexible access for
various infrastructures and applications, software-defined networks (SDNs) have been …

As a typical Internet of Things application, network traffic prediction (NTP) plays a decisive
role in congestion control, resource allocation, and anomaly detection. The trend of network …

A hybrid software-defined network (SDN), which is a network where traditional routers and
SDN protocols coexist during the incremental deployment of SDNs, requires real-time link …

In order to improve the accuracy of large-scale software-defined network traffic prediction, a
large-scale software-defined network traffic prediction model based on Graph Convolution …

Network traffic prediction is very important for load balancing and network planning. This
paper proposes an attention-based traffic predictor (ATP) model to achieve traffic prediction …

Traffic prediction is the basis for dynamic network services and resource optimization.
Software Defined Networking (SDN) provides a global view for network measurement and …

With the continuous development and improvement of Software-Defined Networking (SDN),
large-scale networks are divided into multiple domains. Each domain, which is managed by …

The software-defined network (SDN) is a new network architecture system that achieves the
separation of the data plane and the control plane, making SDN networks more relevant to …

With the increasing complexity of the network, the current network traffic has strong
nonlinearity and burstiness. Therefore, the traditional traffic prediction model is no longer …