The home network traffic models investigation

The paper presents the results of the traffic investigation on the home networks for BitTorrent, Skype and M2M services. The traffic features are investigated on the test beds. One of them is created for Skype and BitTorrent traffic investigation. Another test bed is created for M2M traffic investigation. The related works on the teletraffic investigation area are analysed. The Poisson and self-similar traffic models are considered, including Skype and BitTorrent traffic models. The anti-persistent traffic models for M2M traffic in case of mass events is discussed. The anti-persistent traffic can mainly affect the traffic service. So, the most important task of the paper investigation is the detection of anti-persistent traffic on the home networks. The Hurst parameter is calculated by the analysis of change in dispersion method. The obtained results have shown that outcoming and incoming BitTorrent and M2M traffic have the anti-persistent features on the home network. It should be counted at the home network planning. The traffic control methods can be used on the home networks, for example traffic scheduling.