Internet Traffic Source Vased on Hidden Markov Model

Author: Domańska J.; Domański A.; Czachórski T.; Balandin S.
Conference Name: Smart spaces and Next Generation Wired/Wireless Networking
Year of Publication: 2011
Status: Published
Conference Location: Berlin Heidelberg
Publisher: Springer
Abstract: 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.