Description Usage Arguments Details References See Also Examples

Define the inputs of a MultiClass Mixed Network

1 2 3 | ```
NewInput.MCMN(
classes, vLambda, vNumber, vThink, nodes, vType, vVisit, vService, method=0, tol=0.01
)
``` |

`classes` |
The number of classes |

`vLambda` |
It is a vector with the rate of arrivals of each class |

`vNumber` |
A vector with the number of customers of each class |

`vThink` |
A vector with the think time of each class |

`nodes` |
The number of nodes in the network |

`vType` |
A vector with the type of node: "Q" for queueing nodes or "D" for delay nodes |

`vVisit` |
A matrix[i, j]. The rows represents the different visit count for each class i to each node j. Take caution about the orden: open classes are defined first and closed clasess are defined second |

`vService` |
A matrix[i, j]. The rows represents the different service times for each class i in each node j. Take caution about the orden: open classes are defined first and closed clasess are defined second. |

`method` |
If method is 0, the exact MVA algorith is used. If method is 1, the Bard-Schweitzer approximation algorithm is used |

`tol` |
If the parameter method is 1, this is the tolerance parameter of the algorithm |

Define the inputs of a MultiClass Mixed Network

[Lazowska84] Edward D. Lazowska, John Zahorjan, G. Scott Graham, and Kenneth C. Sevcik (1984).

*Quantitative System Performance: Computer System Analysis Using Queueing Network Models*.

Prentice-Hall, Inc., Englewood Cliffs, New Jersey

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ```
## See example in pag 147 in reference [Lazowska84] for more details.
classes <- 4 # A and B are open classes and C and D are closed classes.
vLambda <- c(1, 1/2)
vNumber <- c(1, 1)
vThink <- c(0, 0)
nodes <- 2
vType <- c("Q", "Q")
# When the visit ratios and vService are set,
# be sure that the open classes are in the first positions
# and the closed classes after the open classes.
vVisit <- matrix(data=1, nrow=4, ncol=2)
# A and B are open clasess:
# with demand service of 1/4 and 1/2 at the node 1 and 1/2 and 1 at the node 2
# C and D are open clasess:
# with demand service of 1/4 and 1/2 at the node 1 and 1/2 and 1 at the node 2
vService <- matrix(data=c(1/4, 1/2, 1/2, 1, 1/6, 1, 1, 4/3), nrow=4, ncol=2)
i_mcmn1 <- NewInput.MCMN(classes, vLambda, vNumber, vThink, nodes, vType, vVisit, vService)
``` |

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