This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …

Network traffic prediction is a fundamental prerequisite for dynamic resource provisioning in
wireline and wireless networks, but is known to be challenging due to non-stationarity and …

Network traffic forecasting means estimating future network traffic from previous traffic
observations. Network traffic analysis has various applications in a wide range of fields, and …

Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …

Forecasting fine-grained network traffic is crucial for many network management and
optimization tasks such as traffic engineering, anomaly detection, network accounting …

By predicting the traffic load on network links, a network operator can effectively pre-dispose
resource-allocation strategies to early address, eg, an incoming congestion event. Traffic …

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 evolution of Internet, traffic prediction has been more important than ever, because
better resource allocation and network management schemes are based on the precise …

The ability to generate network traffic predictions at short time scales is crucial for many
network management tasks such as traffic engineering, anomaly detection, and traffic matrix …

Network traffic forecasting provides key information for network management, resource
allocation, traffic attack detection. However, traditional linear and non-linear network traffic …