NewInput.MCCN: Define the inputs of a MultiClass Closed Network

Description

Define the inputs of a MultiClass Closed Network

Usage

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

Arguments

classes

The number of classes

vNumber

A vector with the number of clients 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

Details

Define the inputs of a MultiClass Closed Network

References

[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

Examples

Run this code

## 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)