Smart spaces and Next Generation Wired/Wireless Networking
Publisher
Springer
Conference Location
Berlin Heidelberg
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.
Historia zmian
Data aktualizacji: 18/02/2016 - 15:10; autor zmian: Piotr Gawron (gawron@iitis.pl)