Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of
service of the transportation network. With increasing access to larger datasets of higher …

Traffic demand prediction is significant and practical in the resource scheduling of
transportation application systems. Meanwhile, it remains a challenging topic due to the …

In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive
cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users, which …

The unprecedented growth of the global Internet traffic, coupled with the large spatio-
temporal fluctuations that create, to some extent, predictable tidal traffic conditions, are …

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

Network traffic prediction is an important tool for the management and control of IoT, and
timely and accurate traffic prediction models play a crucial role in improving the IoT service …

The prediction of network traffic characteristics helps in understanding this complex
phenomenon and enables a number of practical applications, ranging from network …

With the rapid growing trend of Internet, prediction‐based network operation optimization
and management has drawn the attention from both the academia and the industry. For …