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 …

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 …

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

The function of network traffic prediction plays an important role in many network operations
such as security, path planning and congestion control etc. Most traditional traffic prediction …

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 …

Network traffic prediction is essential and significant to network management and network
security. Existing prediction methods cannot well capture the temporal–spatial correlations …

Network traffic prediction is a crucial aspect of network management and operation,
attracting significant attention from both academic and industrial researchers. Deep learning …

Network traffic prediction is essential and significant to network management and network
security. Existing prediction methods cannot well capture the temporal-spatial correlations …

Network traffic forecasting is essential for efficient network management and planning.
Accurate long-term forecasting models are also essential for proactive control of upcoming …

Network traffic forecasting is the key issue of network resource management. Network traffic
forecasting accuracy, timing, is directly related to the efficiency and performance of the …