com.sun.electric.tool.util.concurrent.debug.LoadBalancing Maven / Gradle / Ivy

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/* -*- tab-width: 4 -*-
 *
 * Electric(tm) VLSI Design System
 *
 * File: LoadBalancing.java
 *
 * Copyright (c) 2010, Oracle and/or its affiliates. All rights reserved.
 *
 * Electric(tm) 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 3 of the License, or
 * (at your option) any later version.
 *
 * Electric(tm) 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 Electric(tm); see the file COPYING.  If not, write to
 * the Free Software Foundation, Inc., 59 Temple Place, Suite 330,
 * Boston, Mass 02111-1307, USA.
 */
package com.sun.electric.tool.util.concurrent.debug;

import java.text.DecimalFormat;
import java.util.Iterator;
import java.util.Set;

import com.sun.electric.tool.util.concurrent.runtime.WorkerStrategy;
import com.sun.electric.tool.util.concurrent.utils.ConcurrentCollectionFactory;

/**
 * @author Felix Schmidt
 * 
 */
public class LoadBalancing implements IDebug {

	private static LoadBalancing instance = new LoadBalancing();
	private Set workers;

	private LoadBalancing() {
		workers = ConcurrentCollectionFactory.createConcurrentHashSet();
	}

	public static LoadBalancing getInstance() {
		return instance;
	}

	public void registerWorker(WorkerStrategy worker) {
		workers.add(worker);
	}

	public void reset() {
		workers.clear();
	}

	/*
	 * (non-Javadoc)
	 * 
	 * @see com.sun.electric.tool.util.concurrent.debug.IDebug#printStatistics()
	 */
	public void printStatistics() {
		Set workersLocalCopy = ConcurrentCollectionFactory.copySetToConcurrent(workers);

		int sum = 0;
		for (Iterator it = workersLocalCopy.iterator(); it.hasNext();) {
			sum += it.next().getExecutedCounter();
		}

		double mean = (double) sum / (double) workersLocalCopy.size();
		double varField[] = new double[workersLocalCopy.size()];

		int i = 0;
		for (Iterator it = workersLocalCopy.iterator(); it.hasNext();) {
			WorkerStrategy worker = it.next();
			System.out.print(worker);
			System.out.print(" - ");
			varField[i] = (double) worker.getExecutedCounter() / (double) sum;
			System.out.println(this.getPercentageString(varField[i]));
			i++;
		}

		// double var = GenMath.varianceEqualDistribution(varField);
		double dev = this.standardDeviation(varField);

		System.out.print("mean value");
		System.out.print(" - ");
		System.out.println(this.getPercentageString(mean / (double) sum));

		System.out.print("deviation");
		System.out.print(" - ");
		System.out.println(this.getPercentageString(dev));
	}

	/**
	 * Calculate the variance of a given, equal distributed array of doubles.
	 * 
	 * @param values
	 * @param mean
	 * @return variance
	 */
	private double varianceEqualDistribution(double[] values, double mean) {
		double var = 0.0;

		for (int i = 0; i < values.length; i++) {
			var += Math.pow((double) values[i] - mean, 2.0);
		}

		return var / (double) values.length;
	}

	/**
	 * Calculate the variance of a given, equal distributed array of doubles.
	 * 
	 * @param values
	 * @param mean
	 * @return variance
	 */
	private double varianceEqualDistribution(double[] values) {
		double mean = this.meanEqualDistribution(values);
		return this.varianceEqualDistribution(values, mean);
	}

	/**
	 * Calculate the mean of a given, equal distributed array of doubles.
	 * 
	 * @param values
	 * @param mean
	 * @return variance
	 */
	private double meanEqualDistribution(double[] values) {
		double mean = 0.0;

		for (int i = 0; i < values.length; i++) {
			mean += values[i];
		}

		return mean / (double) values.length;
	}

	/**
	 * Calculate the standard deviation of a given, equal distributed array of
	 * doubles.
	 * 
	 * @param values
	 * @param mean
	 * @return variance
	 */
	private double standardDeviation(double[] values) {
		double var = this.varianceEqualDistribution(values);
		return Math.sqrt(var);
	}

	/**
	 * Method to describe a percentage value as a String
	 * 
	 * @param value
	 *            which should be described as a percentage string
	 * @return percentage string
	 */
	private String getPercentageString(double value) {
		StringBuilder builder = new StringBuilder();

		DecimalFormat df2 = new DecimalFormat("##0.00");

		builder.append(df2.format(value * 100.0));
		builder.append("%");

		return builder.toString();
	}
}