/******************************************************************************* * This file is part of OpenNMS(R). * * Copyright (C) 2011 The OpenNMS Group, Inc. * OpenNMS(R) is Copyright (C) 1999-2011 The OpenNMS Group, Inc. * * OpenNMS(R) is a registered trademark of The OpenNMS Group, Inc. * * OpenNMS(R) 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. * * OpenNMS(R) 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 OpenNMS(R). If not, see: * http://www.gnu.org/licenses/ * * For more information contact: * OpenNMS(R) Licensing <license@opennms.org> * http://www.opennms.org/ * http://www.opennms.com/ *******************************************************************************/ package org.opennms.jicmp.standalone; import java.util.concurrent.TimeUnit; /** * Metric * * @author brozow */ public class Metric { private int m_count = 0; private double m_sumOfSquaresOfDifferences = 0.0; private double m_average = 0.0; private long m_min = Long.MAX_VALUE; private long m_max = Long.MIN_VALUE; /** * @return the count */ public int getCount() { return m_count; } /** * @return the sumOfSquaresOfDifferences */ public double getSumOfSquaresOfDifferences() { return m_sumOfSquaresOfDifferences; } /** * @return the stdDevElapsedNanos */ public double getStandardDeviation() { return m_count == 0 ? 0.0 : Math.sqrt(getSumOfSquaresOfDifferences() / getCount()); } /** * @return the avgElapsedNanos */ public double getAverage() { return m_average; } /** * @return the minElapsedNanos */ public long getMinimum() { return m_min; } /** * @return the maxElapsedNanos */ public long getMaximum() { return m_max; } /** * update of nanos value */ public void update(long sample) { m_count++; double oldAvg = m_average; m_average += (sample - oldAvg)/m_count; m_sumOfSquaresOfDifferences += (sample - getAverage())*(sample - oldAvg); m_min = Math.min(m_min, sample); m_max = Math.max(m_max, sample); } public String getSummary(TimeUnit unit) { double nanosPerUnit = TimeUnit.NANOSECONDS.convert(1, unit); return String.format("cnt/min/avg/max/stddev = %d/%.3f/%.3f/%.3f/%.3f", getCount(), getMinimum()/nanosPerUnit, getAverage()/nanosPerUnit, getMaximum()/nanosPerUnit, getStandardDeviation()/nanosPerUnit); } }