NewInput.MCCN: Define the inputs of a MultiClass Closed Network
In queueing: Analysis of Queueing Networks and Models

Description Usage Arguments Details References See Also Examples

Define the inputs of a MultiClass Closed Network

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NewInput.MCCN(
  classes, vNumber, vThink, nodes, vType, vVisit, vService, method=1, tol=0.01
)

`classes`	The number of classes
`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
`vService`	A matrix[i, j]. The rows represents the different service time for each class i in each node j
`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 Closed 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

QueueingModel.i_MCCN

## See example in pag 142 in reference [Lazowska84] for more details.

classes <- 2
vNumber <- c(1, 1)
vThink <- c(0, 0)
nodes <- 2
vType <- c("Q", "Q")
vVisit <- matrix(data=c(10, 9, 5, 4), nrow=2, ncol=2, byrow=TRUE)
vService <- matrix(data=c(1/10, 1/3, 2/5, 1), nrow=2, ncol=2, byrow=TRUE)

i_MCCN1 <- NewInput.MCCN(classes, vNumber, vThink, nodes, vType, vVisit, vService)