Self-Similar Markovian Sources

Applied Sciences

Jakub Szyguła¹  Adam Domański¹  Katarzyna Filus²  Joanna Domańska²  Tadeusz Czachórski² 

[1] Faculty of Automatic Control, Electronics and Computer Science, Department of Distributed Systems and Informatic Devices, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland;Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland;

关键词: long-range dependence (LRD);    self-similarity;    traffic sources;    Hurst parameter;    Markov models;   

DOI  :  10.3390/app10113727

来源: DOAJ

【 摘 要 】

Markov queueing models are a powerful tool to evaluate the performance of computer networks and have been used in telecommunication studies for over 100 years. To apply them to the evaluation of the modern Internet, we should not only adapt them to the contemporary network structures but also include a description of the complex stochastic patterns (self-similarity and long-range dependance) of transmitted flows. We examine the features of two Markov models of an almost self-similar process, keeping in mind the modeling of Internet traffic. We have found that the obtained results are comparable with those achieved using a well-known generator of self-similar traffic.

【 授权许可】

Unknown