Website Traffic Forecasting Using Deep Learning Techniques

H Nunnagoppula, K Katragadda… - … Conference on Artificial …, 2023 - ieeexplore.ieee.org
Today, predicting website traffic is a huge concern since it could influence the operation of
critical websites. With more people visiting the website, it can crash or load very slowly. Such …

Network traffic prediction based on SVR improved by chaos theory and ant colony optimization

Y Liang, L Qiu - … journal of future generation communication and …, 2015 - earticle.net
Network traffic prediction is one of the significant issues. The model for network traffic
prediction should meet the following requirements. First, the model should be taken into …

Traffic flow forecast using time series analysis based on machine learning

BR Krishna, MHV Reddy, PS Vaishnavi… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Intelligent Transportation System's (ITS) main aim is to provide advanced services in both
the transportation and traffic fields. A wide variety of algorithms and different types of models …

Modeling and prediction of daily traffic patterns—WASK and SIX case study

R Goścień, A Knapińska, A Włodarczyk - Electronics, 2021 - mdpi.com
The paper studies efficient modeling and prediction of daily traffic patterns in transport
telecommunication networks. The investigation is carried out using two historical datasets …

[引用][C] Real-time variable bit rate video traffic using a simple and efficient prediction approach

T Baghyasree, P Kumar, K Janakiraman… - World Appl Sci J, 2014

[PDF][PDF] Network traffic prediction based on the wavelet analysis and Hopfield neural network

S Guang - International Journal of Future Computer and …, 2013 - ijfcc.org
Build a mathematical model is the key problem of network traffic prediction. Traditional
single network flow model of is not simulate the complex characteristics of network traffic …

A network traffic prediction method based on LSTM

S Wang, Q Zhuo, H Yan, Q Li, Y Qi - ZTE communications, 2019 - zte.magtechjournal.com
As the network sizes continue to increase, network traffic grows exponentially. In this
situation, how to accurately predict network traffic to serve customers better has become one …

LNTP: An end-to-end online prediction model for network traffic

L Zhang, H Zhang, Q Tang, P Dong, Z Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
As network data keeps getting bigger, deep learning is coming to play a key role in network
design and management. Meanwhile, accurate network traffic prediction is of critical …

Analyzing and Predicting the QoS of Traffic in WiMAX Network Using Gene Expression Programming

J Sangeetha, K Nagaraj, KNB Murthy… - Advancements in …, 2018 - igi-global.com
The WiMAX network provides an efficient QoS to the large number of users. The real time
and non-real time multimedia applications are gaining importance in the WiMAX network. To …

A timescale decomposition approach to network traffic prediction

G Mao - IEICE transactions on communications, 2005 - search.ieice.org
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 …