Internet Traffic Source Vased on Hidden Markov Model

Autorzy: Domańska J.; Domański A.; Czachórski T.; Balandin S.
Conference Name: Smart spaces and Next Generation Wired/Wireless Networking
Rok publikacji: 2011
Status: Opublikowane
Conference Location: Berlin Heidelberg
Wydawca: Springer
Abstrakt: This article shows how to use Hidden Markov Models to generate self-similar traffic. The well-known Bellcore traces are used as a training sequence to learn HMM model parameters. Performance of trained model are tested on the remaining portions of the sequence. Then we can use the HMM trained with the Bellcore data as the traffic source model.