Forecasting network traffic: A survey and tutorial with open-source comparative evaluation
This paper presents a review of the literature on network traffic prediction, while also serving
as a tutorial to the topic. We examine works based on autoregressive moving average …
as a tutorial to the topic. We examine works based on autoregressive moving average …
LSTM based long-term energy consumption prediction with periodicity
JQ Wang, Y Du, J Wang - energy, 2020 - Elsevier
Energy consumption information is a kind of time series with periodicity in many real system,
while the general forecasting methods do not concern periodicity. This paper proposes a …
while the general forecasting methods do not concern periodicity. This paper proposes a …
A survey on traffic prediction techniques using artificial intelligence for communication networks
A Chen, J Law, M Aibin - Telecom, 2021 - mdpi.com
Much research effort has been conducted to introduce intelligence into communication
networks in order to enhance network performance. Communication networks, both wired …
networks in order to enhance network performance. Communication networks, both wired …
Bittorrent network traffic forecasting with ARMA
In recent years, there are some major changes in the way content is being distributed over
the network. The content distribution techniques have recently started to embrace peer-to …
the network. The content distribution techniques have recently started to embrace peer-to …
Gefcom 2014—probabilistic electricity price forecasting
Energy price forecasting is a relevant yet hard task in the field of multi-step time series
forecasting. In this paper we compare a well-known and established method, ARMA with …
forecasting. In this paper we compare a well-known and established method, ARMA with …
Impact of utilizing forecasted network traffic for data transfers
Sharing of information leads to the need to transfer data between geographically distant
locations. Identifying the most appropriate time period to execute the data transfer is …
locations. Identifying the most appropriate time period to execute the data transfer is …
Program updating system, program updating method, and computer program
K Arai - US Patent 11,144,295, 2021 - Google Patents
A system according to one aspect of the present disclosure is a program updating system
including: a plurality of control devices installed in a vehicle; and a gateway connected to the …
including: a plurality of control devices installed in a vehicle; and a gateway connected to the …
[图书][B] Development of new models using machine learning methods combined with different time lags for network traffic forecasting
D Akgol - 2017 - books.google.com
The purpose of this thesis is to forecast the amount of network traffic in Transmission Control
Protocol/Internet Protocol (TCP/IP)-based networks by using different time lags and various …
Protocol/Internet Protocol (TCP/IP)-based networks by using different time lags and various …
Network Security: Approach Based on Network Traffic Prediction
S Thakare, A Pund, MA Pund - … on Computer Networks, Big Data and IoT …, 2020 - Springer
Considering the network security aspect, one of the best way of preventing network
infrastructure against anomalous activities is to monitor its traffic for suspicious activities. The …
infrastructure against anomalous activities is to monitor its traffic for suspicious activities. The …
Voice and data traffic modeling and prediction for a third generation mobile network using machine learning methods
Y Yur - 2017 - acikbilim.yok.gov.tr
The purpose of the thesis is to derive models for traffic characteristics of a 3G network which
is commercially deployed in Turkey and predict voice and data traffic by using various …
is commercially deployed in Turkey and predict voice and data traffic by using various …