A new hybrid network traffic prediction method

L Xiang, XH Ge, C Liu, L Shu… - 2010 IEEE Global …, 2010 - ieeexplore.ieee.org
How to predict the self-similar network traffic with high burstiness is a great challenge for
network management. The covariation orthogonal prediction could effectively capture the …

A network traffic flow prediction with deep learning approach for large-scale metropolitan area network

W Wang, Y Bai, C Yu, Y Gu, P Feng… - NOMS 2018-2018 …, 2018 - ieeexplore.ieee.org
Accurate and timely internet traffic information is important for many applications, such as
bandwidth allocation, anomaly detection, congestion control and admission control. Over the …

Realtime mobile bandwidth prediction using LSTM neural network and Bayesian fusion

L Mei, R Hu, H Cao, Y Liu, Z Han, F Li, J Li - Computer Networks, 2020 - Elsevier
With the increasing popularity of mobile Internet and the higher bandwidth requirement of
mobile applications, user Quality of Experience (QoE) is particularly important. For …

A hybrid traffic speed forecasting approach integrating wavelet transform and motif-based graph convolutional recurrent neural network

N Zhang, X Guan, J Cao, X Wang, H Wu - arXiv preprint arXiv:1904.06656, 2019 - arxiv.org
Traffic forecasting is crucial for urban traffic management and guidance. However, existing
methods rarely exploit the time-frequency properties of traffic speed observations, and often …

Boosting feed-forward neural network for internet traffic prediction

HH Tong, CR Li, JR He - Proceedings of 2004 International …, 2004 - ieeexplore.ieee.org
Internet traffic prediction plays a fundamental role in network design, management, control,
and optimization. The self-similar and non-linear nature of network traffic makes high …

A novel LMS method for real-time network traffic prediction

Y Xinyu, Z Ming, Z Rui, S Yi - … Science and Its Applications–ICCSA 2004 …, 2004 - Springer
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 …

An intelligent network traffic prediction method based on Butterworth filter and CNN–LSTM

X Hu, W Liu, H Huo - Computer Networks, 2024 - Elsevier
Accurate and real-time network traffic prediction is of paramount importance in the fields of
network management, performance optimization, and fault diagnosis. It provides strong …

A one-step network traffic prediction

X Mu, N Tang, W Gao, L Li, Y Zhou - Advanced Intelligent Computing …, 2008 - Springer
In the information society today computer networks are an indispensable part of people's life.
Network traffic prediction is important to network planning, performance evaluation and …

Machine Learning Based Traffic Prediction System in Green Cellular Networks

RL Devi, V Saminadan - 2022 1st International Conference on …, 2022 - ieeexplore.ieee.org
A network may be able to improve its capacity for planning and the quality of service, if it is
possible to accurately estimate the volume of mobile phone traffic in advance it provides to …

Traffic prediction on communication network based on spatial-temporal information

Y Ma, B Peng, M Ma, Y Wang… - 2020 22nd International …, 2020 - ieeexplore.ieee.org
With the development of the communication and computer science technology, the traffic
prediction of the communication network has attracted more and more interests from the …