Class SolverMultiClosedMonteCarlo

java.lang.Object

solvers.SolverMulti

solvers.multiSolverAlgorithms.SolverMultiClosedMonteCarlo

public class SolverMultiClosedMonteCarlo
extends SolverMulti

Solves a multiclass closed model with the Monte Carlo algorithm, an exact technique that estimates the normalizing constants of large models by sampling, as described in the JMVA chapter of the JMT user manual.

Author:

ellasu

Field Summary

Fields

Modifier and Type	Field	Description
static final int	DEFAULT_MAX_SAMPLES
protected int	maxSamples
protected int[]	population
protected QNModel	qnm	Contains the queueing network model
protected Integer	scale
protected double	tolerance

Fields inherited from class SolverMulti

classes, CLOSED_CLASS, clsNumJobs, clsRespTime, clsThroughput, DELAY, HOL, LD, LI, name, OPEN_CLASS, priorities, PRS, pw, queueLen, residenceTime, scQueueLen, scResidTime, scThroughput, scUtilization, servers, servTime, stations, sysNumJobs, sysResponseTime, sysThroughput, throughput, type, utilization, visits

Constructor Summary

Constructors

Constructor	Description
SolverMultiClosedMonteCarlo(int classes, int stations, int[] population)	Creates new SolverMultiClosedMonteCarlo

Method Summary

Modifier and Type	Method	Description
boolean	hasSufficientProcessingCapacity()	A system is said to have sufficient capacity to process a given load lambda if no service center is saturated as a result of the combined loads of all the classes.
boolean	input(int[] t, double[][][] s, double[][] v)	Initializes the solver with the system parameters.
void	setMaxSamples(int maxSamples)
void	setTolerance(double tolerance)
void	solve()	Solves the system through the MonteCarlo algorithm.
static Integer	validateMaxSamples(String maxSamples)

Methods inherited from class SolverMulti

getAggrQueueLen, getAggrQueueLen, getAggrResTime, getAggrResTime, getAggrThroughput, getAggrThroughput, getAggrUtilization, getAggrUtilization, getClsResTime, getClsResTime, getClsThroughput, getClsThroughput, getQueueLen, getQueueLen, getResTime, getResTime, getThroughput, getThroughput, getTotResTime, getTotThroughput, getUtilization, getUtilization, getVisits, input, input, printIndices, setServTime, toString

Methods inherited from class Object

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

Field Details

DEFAULT_MAX_SAMPLES

public static final int DEFAULT_MAX_SAMPLES

See Also:

• Constant Field Values

population

protected int[] population

scale

protected Integer scale

maxSamples

protected int maxSamples

tolerance

protected double tolerance

qnm

protected QNModel qnm

Contains the queueing network model

Constructor Details

SolverMultiClosedMonteCarlo

public SolverMultiClosedMonteCarlo(int classes,
 int stations,
 int[] population)

Creates new SolverMultiClosedMonteCarlo

Parameters:

classes - number of classes

stations - number of service centers

population - array of class populations

Method Details

input

public boolean input(int[] t,
 double[][][] s,
 double[][] v)

Initializes the solver with the system parameters. It must be called before trying to solve the model.

Parameters:

t - array of the types (LD or LI) of service centers

s - matrix of service times of the service centers

v - array of visits to the service centers

Returns:

True if the operation is completed with success

solve

public void solve()

Solves the system through the MonteCarlo algorithm. input(...) must have been called first.

Specified by:

solve in class SolverMulti

setMaxSamples

public void setMaxSamples(int maxSamples)

setTolerance

public void setTolerance(double tolerance)

validateMaxSamples

public static Integer validateMaxSamples(String maxSamples)

hasSufficientProcessingCapacity

public boolean hasSufficientProcessingCapacity()

Description copied from class: SolverMulti

A system is said to have sufficient capacity to process a given load lambda if no service center is saturated as a result of the combined loads of all the classes.
Must be implemented to create a multi class model solver.
WARNING: This method should be called before solving the system.

Specified by:

hasSufficientProcessingCapacity in class SolverMulti

Returns:

true if sufficient capacity exists for the given workload, false otherwise