parameter.java

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/**    
  * 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.AutoCheck;
import jmt.common.exception.IncorrectDistributionParameterException;

/**
 *
 * interface for all distributions parameters. You have to
 * extend this class for every new distribution that you have.
 *
 * <br><br>Copyright (c) 2003
 * <br>Politecnico di Milano - dipartimento di Elettronica e Informazione
 * @author Federico Granata (modified by Fabrizio Frontera - [e-mail])
 * @author Bertoli Marco, 10-oct-2005
 *
 */

public abstract class Parameter implements AutoCheck {

	/**
	 * check method definition.
	 * It provide a method for the user to verify if the parameter that he is using
	 * is correct.
	 *
	 * @return boolean indicating wether or not the parameter is right.
	 *
	 */
	public boolean check() {
		return true;
	}

    /**
     * Sets mean for a given distribution parameter. This method is required to adjust distributions
     * mean values into Load Dependent Service Time Strategy
     * <br>Author: Bertoli Marco
     * @param meanValue new mean value for this distribution
     * @throws IncorrectDistributionParameterException if mean value is invalid for this distribution
     */
    public void setMean(double meanValue) throws IncorrectDistributionParameterException{
        throw new IncorrectDistributionParameterException("Cannot set mean value for this distribution");
    }
} // end Parameter