Analysis and prediction of network traffic has applications in wide comprehensive set of areas and has newly attracted significant number of studies. Different kinds of experiments are conducted and summarized to identify various problems in existing computer network applications. Network traffic analysis and prediction is a proactive approach to ensure secure, reliable and qualitative network ...

The growing demand for link bandwidth and node capacity is a frequent phenomenon in IP network backbones. Within this context traffic prediction is essential for the network operator. Traffic prediction can be undertaken based on link traffic or on origin-destination (OD) traffic which presents better results. This work investigates a methodology for traffic prediction based on multidimensional...

The features of dynamic, noise and instability, make the network traffic eruptive and unstable, and this obstructs the network traffic prediction. In order to figure out its characteristics and developing tendency accurately, the paper proposes a wavelet-transform-based prediction algorithm: Firstly, with the multi-resolution analysis of wavelet transform, the network traffic, which is difficul...

For traffic prediction forecasting in WIMAX, generally the genetic algorithm were used ,but due to certain limitation of genetic algorithms, problems was created in the traffic prediction .So there is a need to proposed a new approach that is better than Genetic algorithm .this approach need to update the limitation of the Genetics algorithm. There is a need to enhance the prediction capability...

The effect of traffic flow prediction plays an important role in routing selection. Traditional traffic flow forecasting methods mainly include linear, nonlinear, neural network, and Time Series Analysis method. However, all of them have some shortcomings. This paper analyzes the existing algorithms on traffic flow prediction and characteristics of city traffic flow and proposes a road traffic ...

The presence of the complex scaling behavior in network traffic makes accurate forecasting of the traffic a challenging task. Some conventional prediction tools such as recursive least square method do not apply to network traffic prediction. In this paper we propose a multiscale decomposition approach to real time traffic prediction. The raw traffic data is first decomposed into multiple times...

Multimedia services became a major part of the internet network traffic. The bursty characteristics of the video traffic, produced by applications like video on demand, video broadcasting or videoconferencing, make it difficult to fulfill the Quality of Service (QoS) of the multimedia applications. Therefore it is important to utilize congestion control procedures. One of the procedures used to...

8 This paper assesses the predictability of network traffic by considering two metrics: (1) how far into the future a traffic 9 rate process can be predicted with bounded error; (2) what the minimum prediction error is over a specified prediction 10 time interval. The assessment is based on two stationary traffic models: the auto-regressive moving average and the 11 Markov-modulated poisson pro...

In order to improve the prediction accuracy of network traffic, this paper proposes a network traffic prediction model based on support vector machine (SVM) which parameters are optimized by catfish particle swarm optimization algorithm. Firstly, the parameters of SVM are encoded as a particle, and then catfish effect is introduced to overcome the defects of particle swarm optimization algorith...