The 21st century is a high-tech information era in which our lives are closely linked by
computer networks. Hence, how to effectively supervise networks and reduce the frequency …

The rapid update of computing power leads to exponential data traffic growth, and the
incidence of network attacks is also increasing. It is significantly important to analyze and …

As an important part of data management, network traffic evaluation and prediction can not
only find network anomalies but also judge the future trends of the network. To predict …

Network traffic prediction performs a main function in characterizing network community
performance. An approach which could appropriately seize the salient characteristics of the …

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 prediction plays an important role in intelligent transportation system (ITS).
However, due to the randomness and complex periodicity of traffic flow data, traditional …

Network traffic matrix prediction is a methodology of predicting network traffic behavior
ahead of time in order to improve network management and planning. Different neural …

Network traffic is non-linear and non-stationary in nature, which is difficult to predict. In this
paper, to solve this problem, a network traffic prediction method based on the combined …

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 …

Network traffic is featured by non-linear time-varying and chaos, and the existing prediction
models based on support vector machine (SVM) have low stability and precision. We adopt …