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 …

Internet traffic prediction is needed to allocate and deallocate the resources dynamically and
to provide the QoS (quality of service) to the end-user. Because of recent technological …

Abstract Software Defined Networking (SDN) is a centralized management network
architecture, the handling commands of flows are designed in the controller and installed …

Traffic matrix is the main research object of traffic prediction in software-defined networking.
Accurate and timely traffic matrix prediction plays an important role in avoiding network …

Traffic prediction is significantly important for performance analysis and network planning in
Software Defined Networking (SDN). However, to effectively predict network traffic in current …

Computer network traffic refers to the total amount of data passing through the network in a
certain period of time, and is an important parameter to measure the load and running status …

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 …

As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …

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 …

The increasing amount of traffic in recent years has led to increasingly complex network
problems. To be able to improve overall network performance and increase network …