Internet traffic source based on hidden Markov model

  • Authors:
  • Joanna Domańska;Adam Domański;Tadeusz Czachórski

  • Affiliations:
  • Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Gliwice, Poland;Institute of Informatics, Silesian Technical University, Gliwice, Poland;Institute of Theoretical and Applied Informatics, Polish Academy of Sciences and Institute of Informatics, Silesian Technical University, Gliwice, Poland

  • Venue:
  • NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
  • Year:
  • 2011

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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 sequences. Then we can use the HMM trained with the Bellcore data as the traffic source model.