NewInput.MMCC {queueing}

Define the inputs of a new M/M/c/c queueing model

Description

Define the inputs of a new M/M/c/c queueing model

Usage

NewInput.MMCC(lambda=0, mu=0, c=1, method=1)

Arguments

lambda

arrival rate

mu

server service rate

c

number of servers

method

with method = 0, the state probabilities are calculated using the formal definition (with overflow problems with factorials; with method = 1 (default), the truncated poisson distribution is used (recomended for professional use)

Details

Define the inputs of a new M/M/c/c queueing model

References

[Sixto2004] Sixto Rios Insua, Alfonso Mateos Caballero, M Concepcion Bielza Lozoya, Antonio Jimenez Martin (2004).
Investigacion Operativa. Modelos deterministicos y estocasticos.
Editorial Centro de Estudios Ramon Areces.

[Kobayashi2012] Hisashi Kobayashi, Brian L. Mark, William Turin (2012).
Probability, Random Processes, and Statistical Analysis: Applications to Communications, Signal Processing, Queueing Theory and Mathematical Finance.
Cambridge University Press.

See Also

CheckInput.i_MMCC

Examples

## See example 10.12 in reference [Sixto2004] for more details.
## create input parameters
i_mmcc <- NewInput.MMCC(lambda=3, mu=0.25, c=15)