Use of non-linear dinamics methods for researching network traffic behaviour of high-speed networks
DOI:
https://doi.org/10.15587/1729-4061.2014.28026Keywords:
self-similarity, network traffic, chaotic phenomena, dynamic system, TCP protocolAbstract
An approach that allows to assess the behavior of network traffic of high-speed communication networks, which has self-similarity properties using the nonlinear dynamics methods is proposed in the paper. The number of Internet users is growing every year, which leads to an increase in the load on the communication channels. The works of many researchers have shown that network traffic possesses self-similarity property, caused by the TCP protocol behavior. With the advent of high-speed data transmission technology, this property of the network traffic has become particularly evident. Communication networks of information systems with TCP protocol are considered in the paper as nonlinear systems that exhibit chaotic properties under certain computer network parameters. Studies have shown that in the model network there are unwanted chaotic phenomena, which negatively affect its performance.
The results can be used to modify existing networks and design new ones. The proposed technique allows to predict the network traffic behavior under certain values of the computer network parameters at longer time axis intervals through its analysis at relatively small segments.
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