The web traffic is a time series action and it is having its peak and low. Even though it can be
predicted in different ways but as when we use the fastest growing time series databases …

Web traffic is a kind of time-series motion, having its highs and lows. The analysis of
predicting web traffic has a greater significance for website owners, to make reliable …

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 …

The practice of predicting the traffic that is headed toward a specific website is known as
web traffic prediction. To govern a network, network traffic forecasting is crucial. Since clients …

This paper compares four different artificial neural network approaches for computer network
traffic forecast, such as: 1) multilayer perceptron (MLP) using the backpropagation as …

Evaluating web traffic on a web server is highly critical for web service providers since,
without a proper demand forecast, customers could have lengthy waiting times and abandon …

Internet traffic prediction is an important task for many applications, such as adaptive
applications, congestion control, admission control, anomaly detection and bandwidth …

In the era of big data, traffic prediction, along with deep learning, has gained attention in
previous years. Urban planners have long been concerned by the constant challenges of …

With the increase in the number of internet users, there is a deluge of traffic over the web,
handling Internet traffic with much more optimized and efficient approach is the need of the …

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 …