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VoIP Modelling


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Universität Dortmund

VoIP Traffic Modelling in ISP Backbones

Hypo-exponential traffic pattern
The hypo-exponential traffic is also called smooth arrival pattern and occurs where there is not a great amount of variation in the traffic. The hold time and inter-arrival time is easily predictable. Example: a Call-Centre expects 600 calls with a duration of 2 minutes an hour.


Hypo-exponential traffic pattern

Hyperexponential traffic pattern
The hyperexponential traffic is also called peak arrival pattern. The variation within a peak arrival pattern is very high. Example of heavy peak traffic is Christmas day and New Year’s eve.

Hyperexponential traffic pattern

Random traffic pattern
The random traffic pattern is also known as Poisson or exponential distribution. This distribution is generally seen in private branch exchange (PBX) environment with circuits varying from 1 to 30.

Random traffic pattern


State-of-the art

  • Modelling VoIP Traffic Aggregations 02_01_voip_aggregation090203_udo.pdf