TY - CPAPER
AU - Joanna Domańska
AU - Adam Domański
AU - Tadeusz Czachórski
AU - S. Balandin
AB - 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.
BT - Smart spaces and Next Generation Wired/Wireless Networking
CY - Berlin Heidelberg
LA - eng
N2 - 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.
PB - Springer
PP - Berlin Heidelberg
PY - 2011
EP - 395–404
T2 - Smart spaces and Next Generation Wired/Wireless Networking
TI - Internet Traffic Source Vased on Hidden Markov Model
ER -