Accurate real‐time traffic prediction is required in many networking applications like dynamic
resource allocation and power management. This paper explores a number of predictors …

In this paper, we propose a machine learning-based approach for estimating available
bandwidth. We evaluate the approach via simulations using two probing models: a packet …

Accurate prediction of website traffic can improve network management, improve service
quality, and improve the end user experience. Using the neural network learning and …

Network traffic prediction is essential for network management and resource scheduling
within Web information systems. However, existing prediction methods have difficulty fitting …

Static bandwidth allocation for variable bit rate (VBR) video traffic forfeits the available
bandwidth. Prediction of the next frame size is thus useful in dynamic bandwidth allocation. It …

Fifth-generation (5G) mobile networks aspire to deliver exceptionally high data rates with
ultra-reliable and low-latency connectivity. With the growing popularity of mobile Internet and …

Prediction of QoS plays significant role for network-based services for seamless and
dynamic integration of various components. A novel HMRLRSVR technique towards …

With the rapid development of social economy, traffic congestion, frequent traffic accidents,
and traffic pollution have become the focus of attention. As an important part of intelligent …

The mobile base station is an important communication hub, which plays a very important
role in the whole Internet. On the one hand, during peak traffic periods, a large number of …

Network traffic prediction has been an important problem in the field of network designing
and planning. Several prediction approaches are developed to predict the network traffic as …