Description Usage Arguments Details References See Also Examples
Reports the results of a queueing model.
1 |
x |
i_MM1, i_MMC, i_MM1K, i_MMCK, i_MM1KK, i_MMCKK, i_MMCC, i_MMCKM, i_MMInfKK, i_MMInf, i_OJN, i_MCON |
... |
aditional arguments |
Generic S3 method to report a queueing model
[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.
1 2 3 4 5 6 7 8 9 | ## See example 10.3 in reference [Sixto2004] for more details.
## create input parameters
i_mm1 <- NewInput.MM1(lambda=1/4, mu=1/3, n=0)
## Build the model
o_mm1 <- QueueingModel(i_mm1)
## Report the results
Report(o_mm1)
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The inputs of the M/M/1 model are:
lambda: 0.25, mu: 0.333333333333333, n: 0
The outputs of the M/M/1 model are:
The probability (p0, p1, ..., pn) of the n = 0 clients in the system are:
0.25
The traffic intensity is: 0.75
The server use is: 0.75
The mean number of clients in the system is: 3
The mean number of clients in the queue is: 2.25
The mean number of clients in the server is: 0.75
The mean time spend in the system is: 12
The mean time spend in the queue is: 9
The mean time spend in the server is: 3
The mean time spend in the queue when there is queue is: 12
The throughput is: 0.25
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