Self-Similar Markovian Sources

• Main Authors: Adam Domański, Joanna Domańska, Katarzyna Filus, Jakub Szyguła, Tadeusz Czachórski
• Format: Article
• Language: English
• Published: MDPI AG 2020-05-01
• Series: Applied Sciences
• Subjects: long-range dependence (LRD); self-similarity; traffic sources; Hurst parameter; Markov models
• Online Access: https://www.mdpi.com/2076-3417/10/11/3727

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.