Network traffic is a typical nonlinear time series. As such, traditional linear and nonlinear
models are inadequate to describe the multi-scale characteristics of traffic, thus …

With the popularity of mobile access Internet and the higher bandwidth demand of mobile
applications, user Quality of Experience (QoE) is particularly important. For bandwidth and …

Problem statement: Network traffic prediction plays a vital role in the optimal resource
allocation and management in computer networks. This study introduces an ARIMA based …

In this paper, we consider video stream prediction for application in services like video-on-
demand, videoconferencing, video broadcasting, etc. The aim is to predict the video stream …

The network traffic prediction model is the foundation of network performance analysis and
designing. The traditional traffic models have the weakness of low-level efficiency. The …

A database that records average traffic speeds measured at five-minute intervals for all the
links in the traffic network of a metropolitan city. While learning from this data the models that …

With the increase of motor vehicles and tourism demand, some traffic problems gradually
appear, such as traffic congestion, safety accidents and insufficient allocation of traffic …

Sažetak High speed network traffic prediction is essential to provision QoS for multimedia
applications while keeping bandwidth utilization high. Wavelet transform is a powerful …

Accurately predicting metrics such as bandwidth utilization in future networks can assist
service providers in predicting network congestion, allowing for proactive network …

Managing traffic on roads within cities, especially crowded roads, requires constant and
rapid intervention to avoid any traffic congestion on these roads. Forecasting the volume of …