@article{Lauks_Skrastins_Jelinskis_2011, title={Testing the Null Hypothesis of Stationarity of Internet Traffic}, volume={112}, url={https://eejournal.ktu.lt/index.php/elt/article/view/439}, DOI={10.5755/j01.eee.112.6.439}, abstractNote={The statistical analyses indicate that the measured traffic traces from the packet networks often contain non-stationary effects. In these cases several popular tests for long-range dependence and/or stationarity can result in wrong conclusions and unreliable estimate of the Hurst parameter. In this paper non-stationarities are modeled as the trends and/or level shifts in Internet traffic data. MMPP-Based Hierarchical Model simulation data are used for stationarity tests. Application of testing results are integrated into network resource allocation function as a Partially Observable Markov Decision process. Ill. 4, bibl. 7, tabl. 1 (in English; abstracts in English and Lithuanian).<p><a href="http://dx.doi.org/10.5755/j01.eee.112.6.439">http://dx.doi.org/10.5755/j01.eee.112.6.439</a></p>}, number={6}, journal={Elektronika ir Elektrotechnika}, author={Lauks, G. and Skrastins, A. and Jelinskis, J.}, year={2011}, month={Jun.}, pages={29-32} }