Network traffic describes the characteristics and users' behaviors of communication
networks. It is a crucial input parameter of network management and network traffic …

Short period prediction is a relevant task for many network applications. Tuning the
parameters of the prediction model is very crucial to achieve accurate prediction. This work …

This paper assesses the predictability of network traffic by considering two metrics:(1) how
far into the future a traffic rate process can be predicted with bounded error;(2) what the …

Broadband ISDN has made possible a variety of new multimedia services, but also created
new problems for congestion control, due to the bursty nature of traffic sources. Lazar and …

Traffic prediction constitutes a hot research topic of network metrology. This work focuses on
the design and the empirical evaluation of the behaviour of training-based models for …

Real-time traffic prediction could give important information to both network efficiency and
QoS guarantees. On the basis of LMS algorithm, this paper presents an improved LMS …

Many network resource management solutions typically employ traffic prediction algorithms
to improve the performance of a network. In this paper we extend a newly developed method …

Self-similarity is an important characteristic of traffic in high speed networks which can not be
captured by traditional traffic models. Traffic predictors based on non-traditional long …

The presence of the complex scaling behavior in network traffic makes accurate traffic
prediction a challenging task. Some conventional prediction tools such as the recursive least …

Accurate prediction of network traffic is an important premise in network management and
congestion control. In order to improve the prediction accuracy of network traffic, a prediction …