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Statistical division based modeling for multimedia network traffic

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2 Author(s)
Li, B. ; Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium ; De Moor, B.

For Markov modulated Poisson process (MMPP) models, a statistical division (SD) based modeling approach is proposed for multimedia network traffic. Due to its exploiting information from observed data, the SD can make significant reductions of problem-scales and then lead to a fast algorithm in comparison with the previously proposed non-informed division (NID) approach (reduced to 5.84% of the CPU time in the practical case given in this paper). Thus, modeling of MMPP can be largely speeded up to trace multimedia network traffic

Published in:

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on  (Volume:1 )

Date of Conference:

1999