Example usage for org.apache.commons.math3.stat.descriptive SummaryStatistics SummaryStatistics

Introduction

In this page you can find the example usage for org.apache.commons.math3.stat.descriptive SummaryStatistics SummaryStatistics.

Prototype

public SummaryStatistics()

Source Link

Document

Construct a SummaryStatistics instance

Usage

From source file:org.calrissian.accumulorecipes.metricsstore.ext.custom.function.SummaryStatsFunction.java

/**
 * {@inheritDoc}
 */
@Override
public void reset() {
    stats = new SummaryStatistics();
}

From source file:org.calrissian.accumulorecipes.metricsstore.ext.stats.impl.AccumuloStatsMetricStoreTest.java

@Test
public void testStatisticAccuracy() throws Exception {
    AccumuloStatsMetricStore metricStore = new AccumuloStatsMetricStore(getConnector());

    Random random = new Random();

    List<Long> sampleData = asList((long) random.nextInt(10000), (long) random.nextInt(10000),
            (long) random.nextInt(10000), (long) random.nextInt(10000), (long) random.nextInt(10000));

    //use commons math as a
    SummaryStatistics sumStats = new SummaryStatistics();
    for (long num : sampleData)
        sumStats.addValue(num);/*  w  ww  .j  a v  a  2s  .  com*/

    final long timestamp = System.currentTimeMillis();
    Iterable<Metric> testData = transform(sampleData, new Function<Long, Metric>() {
        @Override
        public Metric apply(Long num) {
            return new Metric(timestamp, "group", "type", "name", "", num);
        }
    });

    metricStore.save(testData);

    List<Stats> stats = newArrayList(metricStore.queryStats(new Date(0), new Date(), "group", "type", "name",
            MetricTimeUnit.MINUTES, new Auths()));

    assertEquals(1, stats.size());
    Stats stat = stats.get(0);

    assertEquals(sumStats.getMin(), stat.getMin(), Double.MIN_NORMAL);
    assertEquals(sumStats.getMax(), stat.getMax(), Double.MIN_NORMAL);
    assertEquals(sumStats.getSum(), stat.getSum(), Double.MIN_NORMAL);
    assertEquals(sumStats.getN(), stat.getCount(), Double.MIN_NORMAL);
    assertEquals(sumStats.getMean(), stat.getMean(), Double.MIN_NORMAL);
    assertEquals(sumStats.getPopulationVariance(), stat.getVariance(), 0.00000001);
    assertEquals(sumStats.getVariance(), stat.getVariance(true), 0.00000001);
    assertEquals(sqrt(sumStats.getPopulationVariance()), stat.getStdDev(), 0.00000001);
    assertEquals(sumStats.getStandardDeviation(), stat.getStdDev(true), 0.00000001);
}

From source file:org.cloudsimplus.migration.VmMigrationWhenCpuMetricIsViolatedExampleWithSelectedVm.java

/**
 * Computes the response time average for all finished Cloudlets on this
 * experiment./*  w ww  . j  a  v a2  s  .c  o m*/
 *
 * @return the response time average
 */
double getCloudletsResponseTimeAverage(DatacenterBroker broker) {
    SummaryStatistics cloudletResponseTime = new SummaryStatistics();

    broker.getCloudletsFinishedList().stream().map(c -> c.getFinishTime() - c.getLastDatacenterArrivalTime())
            .forEach(cloudletResponseTime::addValue);

    Log.printFormattedLine("\t\t\n Response Time simulation: %.2f \n Response Time contrato SLA: %.2f \n",
            cloudletResponseTime.getMean(), responseTimeSlaContract);
    return cloudletResponseTime.getMean();
}

From source file:org.cloudsimplus.sla.responsetime.CloudletResponseTimeMinimizationExperiment.java

/**
 * Computes the response time average for all finished Cloudlets
 * on this experiment./*from   w  ww .j av  a  2 s  . c  o  m*/
 * @return the response time average
 */
double getCloudletsResponseTimeAverage() {
    SummaryStatistics cloudletResponseTime = new SummaryStatistics();
    DatacenterBroker broker = getBrokerList().stream().findFirst().orElse(DatacenterBroker.NULL);
    broker.getCloudletsFinishedList().stream().map(c -> c.getFinishTime() - c.getLastDatacenterArrivalTime())
            .forEach(cloudletResponseTime::addValue);

    Log.printFormattedLine("\t\t\n Response Time simulation: %.2f \n Response Time contrato SLA: %.2f \n",
            cloudletResponseTime.getMean(), responseTimeSlaContract);
    return cloudletResponseTime.getMean();
}

From source file:org.cloudsimplus.sla.responsetime.CloudletResponseTimeWorkLoadExperimet.java

/**
 * Computes the response time average for all finished Cloudlets on this
 * experiment.// w  ww  . j  a  va  2s.  c om
 *
 * @return the response time average
 */
double getCloudletsResponseTimeAverage() {
    SummaryStatistics cloudletResponseTime = new SummaryStatistics();
    DatacenterBroker broker = getBrokerList().stream().findFirst().orElse(DatacenterBroker.NULL);
    broker.getCloudletsFinishedList().stream().map(c -> c.getFinishTime() - c.getLastDatacenterArrivalTime())
            .forEach(cloudletResponseTime::addValue);

    /* Log.printFormattedLine(
        "\t\t\n Response Time simulation: %.2f \n Response Time contrato SLA: %.2f \n",
        cloudletResponseTime.getMean(), responseTimeSlaContract);*/
    return cloudletResponseTime.getMean();
}

From source file:org.cloudsimplus.testbeds.ExperimentRunner.java

/**
 * Creates a SummaryStatistics object from a list of 
 * Double values, allowing computation of statistics 
 * such as mean over these values./*from  w ww.  ja  va2  s  . co m*/
 * The method also checks if the 
 * {@link #isApplyAntitheticVariatesTechnique() Antithetic Variates}
 * and the {@link #isApplyBatchMeansMethod() Batch Means} techniques
 * are enabled and then apply them over the given list of Doubles.
 * These techniques are used for variance reduction.
 *
 * @param values the List of values to add to the {@link SummaryStatistics} object
 * @return the {@link SummaryStatistics} object containing
 * the double values, after applying the the techniques for
 * variance reduction.
 */
protected SummaryStatistics computeFinalStatistics(List<Double> values) {
    SummaryStatistics stats = new SummaryStatistics();
    values = computeBatchMeans(values);
    values = computeAntitheticMeans(values);
    values.forEach(stats::addValue);
    return stats;
}

From source file:org.cloudsimplus.testbeds.heuristics.DatacenterBrokerHeuristicRunner.java

DatacenterBrokerHeuristicRunner() {
    super();/*ww w .  j  a va 2s  . c  om*/
    experimentCosts = new ArrayList<>();
    runtimeStats = new SummaryStatistics();
    vmPesArray = new int[0];
    cloudletPesArray = new int[0];
}

From source file:org.cloudsimplus.testbeds.linuxscheduler.CloudletSchedulerRunner.java

@Override
protected SummaryStatistics computeFinalStatistics(List<Double> values) {
    SummaryStatistics stats = new SummaryStatistics();
    for (double cloudletExecutionTimeMean : cloudletsCompletionTimeMeans) {
        stats.addValue(cloudletExecutionTimeMean);
    }//from  ww w . j a  v a2s .c  om
    return stats;
}

From source file:org.cmg.ml.sam.core.sim.ProbabilisticSimulator.java

private void storeMeasures(T current, int sampleIndex) {
    for (int i = 0; i < measures.size(); i++) {
        if (collected[i][sampleIndex] == null) {
            collected[i][sampleIndex] = new SummaryStatistics();
        }//w  w w.j  a va  2s .co m
        collected[i][sampleIndex].addValue(measures.get(i).measure(current));
    }
}

From source file:org.cmg.ml.sam.sim.sampling.StatisticSampling.java

private void init() {
    for (int i = 0; i < data.length; i++) {
        data[i] = new SummaryStatistics();
    }
}