replayer.java

一个用于排队系统仿真的开源软件,有非常形象的图象仿真过程!

/**    
  * Copyright (C) 2006, Laboratorio di Valutazione delle Prestazioni - Politecnico di Milano

  * This program is free software; you can redistribute it and/or modify
  * it under the terms of the GNU General Public License as published by
  * the Free Software Foundation; either version 2 of the License, or
  * (at your option) any later version.

  * This program is distributed in the hope that it will be useful,
  * but WITHOUT ANY WARRANTY; without even the implied warranty of
  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  * GNU General Public License for more details.

  * You should have received a copy of the GNU General Public License
  * along with this program; if not, write to the Free Software
  * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301  USA
  */
  
package jmt.engine.random;

import jmt.common.exception.IncorrectDistributionParameterException;

/**
 * Replays ciclically data, previously generated, reading them from a file.

 * @author Federico Granata
 * @version Date: 23-lug-2003 Time: 17.28.35
 * @author Modified by Stefano Omini, 12/5/2004

 */
public class Replayer extends Distribution {

	/**
	 *  Constructs a new distribution with standard random engine.
	 */
	public Replayer() {
		engine = null;
	}

	/**
	 * Reads a new data from the file.
	 *
	 * @param p parameter of the distribution.
	 * @throws IncorrectDistributionParameterException when the parameters r not
	 * consistent.
	 * @return double with the next random number from the sequence.
	 */
	public double nextRand(Parameter p)
	        throws IncorrectDistributionParameterException {
		if (p instanceof ReplayerPar)
			return ((ReplayerPar) p).getNext();
		throw new IncorrectDistributionParameterException(
		        "The class of the parameter is not correct");
	}


    //TODO: mancano pdf, cdf, media e varianza.


    /////@author STEFANO OMINI

    /**
     * Returns the pdf of the distribution.
     * This method is used to obtain from the distribution his probability distribution
     * function evaluated where required by the user.
     *
     * @param x a double indicating where to evaluate the pdf.
     * @param p parameter of the constant distribution.
     * @throws IncorrectDistributionParameterException
     * @return double with the probability distribution function evaluated in x.
     */

    public double pdf(double x, Parameter p) throws IncorrectDistributionParameterException{
        throw new IncorrectDistributionParameterException("Method not implemented yet");
    };

    /**
     * Returns the cdf of the distribution.
     * This method is used to obtain from the distribution his cumulative distribution
     * function evaluated where required by the user.
     *
     * @param x a double indicating where to evaluate the cdf.
     * @param p parameter of the constant distribution.
     * @throws IncorrectDistributionParameterException
     * @return double with the cumulative distribution function evaluated in x.
     */

    public double cdf(double x, Parameter p) throws IncorrectDistributionParameterException{
        throw new IncorrectDistributionParameterException("Method not implemented yet");
    };

    /**
      * returns the mean of the distribution.
      * This method is used to obtain from the distribution the value of his own
      * theoretic mean.
      *
      * @param p parameter of the constant distribution.
      * @throws IncorrectDistributionParameterException
      * @return double with the theoretic mean of the distribution.
      */

    public double theorMean(Parameter p) throws IncorrectDistributionParameterException{
        throw new IncorrectDistributionParameterException("Method not implemented yet");
    };



    /**
      * returns the variance of the distribution.
      * This method is used to obtain from the distribution his own theoretical
      * variance.
      *
      * @param p parameter of the constant distribution.
      * @throws IncorrectDistributionParameterException
      * @return double with the theoretic varance of the distribution.
      */

    public double theorVariance(Parameter p) throws IncorrectDistributionParameterException{
        throw new IncorrectDistributionParameterException("Method not implemented yet");
    };

    /////END @author STEFANO OMINI

}