A realistic network traffic forecasting method based on VMD and LSTM network
Global internet usage is growing dramatically in recent years, making it difficult for operators
to allocate resources rationally and maintain network security. If the network traffic can be …
to allocate resources rationally and maintain network security. If the network traffic can be …
Network traffic prediction based on a CNN-LSTM with attention mechanism
J Wu, T Qiu, H Tang, X Liu - 2022 7th International Conference …, 2022 - ieeexplore.ieee.org
With the increase of Internet users and the rapid development of various large traffic network
applications such as video and games, the network traffic load increases sharply, and …
applications such as video and games, the network traffic load increases sharply, and …
Real-time VBR video traffic prediction for dynamic bandwidth allocation
Y Liang - IEEE Transactions on Systems, Man, and …, 2004 - ieeexplore.ieee.org
In this paper, we systematically investigate the long-term, online, real-time variable-bit-rate
(VBR) video traffic prediction, which is the key and complicated component for advanced …
(VBR) video traffic prediction, which is the key and complicated component for advanced …
[引用][C] Traffic prediction method using structure varying dynamic Bayesian networks
W Yongheng, G Hui, C Xuanling - Journal of Frontiers of Computer Science & …, 2017
A novel time efficient machine learning-based traffic flow prediction method for large scale road network
How to effectively improve the traffic efficiency of the road network plays a crucial role in
ensuring the regular operation of modern society. This is also a key concern in the field of …
ensuring the regular operation of modern society. This is also a key concern in the field of …
The effect of using attribute information in network traffic prediction with deep learning
Y Tokuyama, Y Fukushima… - … on information and …, 2018 - ieeexplore.ieee.org
It is crucial for network operators to predict network traffic in the future as accurate as
possible for appropriate resource provisioning and traffic engineering. Recurrent neural …
possible for appropriate resource provisioning and traffic engineering. Recurrent neural …
Predicting bandwidth utilization on network links using machine learning
M Labonne, C Chatzinakis… - … European Conference on …, 2020 - ieeexplore.ieee.org
Predicting the bandwidth utilization on network links can be extremely useful for detecting
congestion in order to correct them before they occur. In this paper, we present a solution to …
congestion in order to correct them before they occur. In this paper, we present a solution to …
Context-aware link embedding with reachability and flow centrality analysis for accurate speed prediction for large-scale traffic networks
C Lee, Y Yoon - Electronics, 2020 - mdpi.com
This paper presents a novel method for predicting the traffic speed of the links on large-scale
traffic networks. We first analyze how traffic flows in and out of every link through the lowest …
traffic networks. We first analyze how traffic flows in and out of every link through the lowest …
Smoothing-aided support vector machine based nonstationary video traffic prediction towards B5G networks
Video services have hold a surprising proportion of the whole network traffic in wireless
communication networks. Accurate prediction of video traffic can endow networks with …
communication networks. Accurate prediction of video traffic can endow networks with …
[PDF][PDF] Network Bandwidth Predictive analysis using Stacking
B Gehi, I Siddavatam - … on Recent and …, 2014 - svv-research-data.s3.ap-south-1 …
Study presented in this paper is based on analysis of network bandwidth usage and using it
as baseline to predict and improvise future network bandwidth usage. Network bandwidth …
as baseline to predict and improvise future network bandwidth usage. Network bandwidth …