Class RandomNetworkGenerator

java.lang.Object

solvers.utilities.RandomNetworkGenerator

public class RandomNetworkGenerator
extends Object

Class which can generate models for use when testing/evaluating the algorithms. In particular this class was written to generate queueing model networks for testing the Tree Convolution and TMVA algorithms.

Author:

Ben Homer, 2014.

Constructor Summary

Constructors

Constructor	Description
RandomNetworkGenerator(boolean sparse, int popMax)
RandomNetworkGenerator(boolean sparse, int popMin, int popMax)
RandomNetworkGenerator(boolean sparse, int popMin, int popMax, int servMax)

Method Summary

Modifier and Type	Method	Description
QNModel	generateSparseNetwork(int stations, int classes, double sparcityPercentage, boolean reusePrevious, boolean thinkTime)
QNModel	generateSparseNetwork(int stations, int classes, double sparcityPercentage, boolean reusePrevious, boolean thinkTime, boolean multiServer)

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

RandomNetworkGenerator

public RandomNetworkGenerator(boolean sparse,
 int popMax)

RandomNetworkGenerator

public RandomNetworkGenerator(boolean sparse,
 int popMin,
 int popMax)

RandomNetworkGenerator

public RandomNetworkGenerator(boolean sparse,
 int popMin,
 int popMax,
 int servMax)

Method Details

generateSparseNetwork

public QNModel generateSparseNetwork(int stations,
 int classes,
 double sparcityPercentage,
 boolean reusePrevious,
 boolean thinkTime)

generateSparseNetwork

public QNModel generateSparseNetwork(int stations,
 int classes,
 double sparcityPercentage,
 boolean reusePrevious,
 boolean thinkTime,
 boolean multiServer)