| Meaning: |
Modeling from sources with multiple states |
| Description: |
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State machine with m states.
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Discrete Markovian process with the transition probability p_{ij} from
state i to state j after each time slot \Delta t, which is a
combination of two components: p_{ij} = c_{ij} + d_{ij}
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Transition probability from state i to state j without an arrival
event upon transition: c_{ij}
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Transition probability from state i to state j with an arrival event
upon transition: d_{ij}
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According to definition: \sum\limits_i p_{ij} = 1
|
| Parameters: |
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number of states m
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transition probabilities without arrival c_{ij}
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transition probabilities with arrival d_{ij}
|
| Characteristic values: |
see C. BLONDIA, T. THEIMER |
| Parser example: |
[...].distribution = DMAPDistribution
[...].distribution.States = 2
[...].distribution.CMAP = [[0.2 0.5] [0.1 0.3]]
[...].distribution.DMAP = [[0.2 0.1] [0.2 0.4]]
|
| References: |
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C. BLONDIA, T. THEIMER: A Discrete-Time Model for ATM Traffic, RACE 1022,
Document PRLB_123_0018_CD_CC/UST_123_0022_CD_CC, 1989.
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P. J. KÜHN: "Reminder on queueing theory for ATM networks." Telecommunication
Systems, No. 5, 1996, pp. 1-24.
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