Prediction and Application of Network Business Traffic based on LSTM

T Lv, Y Wang, J Yuan, Y Wu… - Journal of Physics …, 2022 - iopscience.iop.org
Traffic prediction is the basis for guiding bandwidth adjustment in the process of network
operation and maintenance. Most of the existing traffic prediction models focus on network …

Dynamic Diffusion Convolutional Recurrent Neural Network-based Traffic Prediction

Y Ji - IEICE Conferences Archives, 2020 - ieice.org
Accurate prediction of the future network traffic plays an important role in various network
problems (eg traffic engineering, quality of service provisioning, etc.). However, modern …

[PDF][PDF] Parameters of network traffic prediction model jointly optimized by genetic algorithm

WJ Lu - Journal of Networks, 2014 - Citeseer
In order to improve the performance of network traffic prediction model, a novel network
traffic prediction model is proposed in this paper which embedding dimension and time …

Network traffic prediction: Apply the transformer to time series forecasting

Q Kong, X Zhang, C Zhang, L Zhou… - Mathematical …, 2022 - Wiley Online Library
Along with the development of technology and social progress, the Internet is increasingly
widely used in life. Mobile communication, fiber optic broadband, and other essential …

Ltphm: Long-term traffic prediction based on hybrid model

C Huang, W Kong, G Dai, Y Liu - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Traffic prediction is a classical spaial-temporal prediction problem with many real-world
applications. In general, existing traffic prediction methods capture the complex spatial …

Network traffic demand prediction with confidence

M Dashevskiy, Z Luo - IEEE GLOBECOM 2008-2008 IEEE …, 2008 - ieeexplore.ieee.org
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 …

Prediction of multiple types of traffic with a novel evaluation metric related to bandwidth blocking

A Knapińska, P Lechowicz… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
With the ever-increasing traffic load, the prediction of future traffic patterns can bring
significant benefits to network optimization. The appropriate choice of a forecasting model is …

Network traffic prediction method based on wavelet transform and multiple models fusion

Z Tian - International Journal of Communication Systems, 2020 - Wiley Online Library
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 …

H. 265 Video Traffic Prediction Using Neural Networks

C Daly - 2016 - digitalcommons.georgiasouthern …
By the year 2019, the Cisco Virtual Networking Index predicts that video traffic of all types
will constitute 80%-90% of global internet traffic, amounting to 1.24-1.44 zettabytes of data …

Network traffic prediction based on wavelet transform and genetic algorithm

X Zhao, W Zheng, L Ding, X Zhang - … , HCC 2017, Kazan, Russia, August 7 …, 2018 - Springer
The traditional network traffic prediction is based on the establishment of a linear model,
which can't describe the changes of network traffic accurately, resulting in low prediction …