Examples of org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

Package org.apache.commons.math.stat.descriptive

Examples of org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Implementation of {@link org.apache.commons.math.stat.descriptive.DescriptiveStatistics} thatis safe to use in a multithreaded environment. Multiple threads can safely operate on a single instance without causing runtime exceptions due to race conditions. In effect, this implementation makes modification and access methods atomic operations for a single instance. That is to say, as one thread is computing a statistic from the instance, no other thread can modify the instance nor compute another statistic. @since 1.2 @version $Revision: 811685 $ $Date: 2009-09-05 19:36:48 +0200 (sam. 05 sept. 2009) $

  private long _numDataPoints;
  private long _totalSum;


  public StatCollector()
  {
    _stats = new SynchronizedDescriptiveStatistics();
    _stats.setWindowSize(DEFAULT_WINDOW_SIZE);
  }

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  private final DescriptiveStatistics _stats;
  private long _numDataPoints;
  private long _totalSum;


  public StatCollector() {
    _stats = new SynchronizedDescriptiveStatistics();
    _stats.setWindowSize(DEFAULT_WINDOW_SIZE);
  }

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        }
    }




    private DescriptiveStatistics runTest(int concurrencyLevel) throws Exception {
        final SynchronizedDescriptiveStatistics statistics = new SynchronizedDescriptiveStatistics();
        if (concurrencyLevel == 1) {
            // Run test iterations, and capture the execution times
            long runtimeEnd = System.currentTimeMillis() + RUNTIME;
            while (System.currentTimeMillis() < runtimeEnd) {
                statistics.addValue(execute());
            }


        } else {
            List<Executor> threads = new LinkedList<Executor>();
            for (int n=0; n<concurrencyLevel; n++) {

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        }
    }




    private DescriptiveStatistics runTest(int concurrencyLevel) throws Exception {
        final SynchronizedDescriptiveStatistics statistics = new SynchronizedDescriptiveStatistics();
        if (concurrencyLevel == 1) {
            // Run test iterations, and capture the execution times
            long runtimeEnd = System.currentTimeMillis() + RUNTIME;
            while (System.currentTimeMillis() < runtimeEnd) {
                statistics.addValue(execute());
            }


        } else {
            List<Executor> threads = new LinkedList<Executor>();
            for (int n=0; n<concurrencyLevel; n++) {

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     * @throws RepositoryException the repository exception
     */
    protected void createLoad(ExecutionContext context) throws RepositoryException {
        // Creates assets for this run


        SynchronizedDescriptiveStatistics writeStats = new SynchronizedDescriptiveStatistics();


        List<Thread> loadThreads = newArrayList();
        for (int idx = 0; idx < LOADERS; idx++) {
            /* Each loader will write to a directory of the form load-idx */
            Thread t =
                    new Thread(getWriter(context, writeStats, idx),
                            "LoadThread-" + idx);
            loadThreads.add(t);
            t.start();
        }


        // wait for the load threads to finish
        for (Thread t : loadThreads) {
            try {
                t.join();
            } catch (InterruptedException e) {
                LOG.error("Exception waiting for join ", e);
            }
        }
        
        LOG.info("Write stats");
        LOG.info(String.format(
            "# min     10%%     50%%     90%%     max       N%n"));
        LOG.info(String.format(
            "%6.0f  %6.0f  %6.0f  %6.0f  %6.0f  %6d%n",
            writeStats.getMin(),
            writeStats.getPercentile(10.0),
            writeStats.getPercentile(50.0),
            writeStats.getPercentile(90.0),
            writeStats.getMax(),
            writeStats.getN()));
    }

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                "No Benchmarks configured");


        for (String key : benchmarks.keySet()) {
            ScalabilityBenchmark benchmark = benchmarks.get(key);
            if (result.getBenchmarkStatistics(benchmark) == null) {
                result.addBenchmarkStatistics(benchmark, new SynchronizedDescriptiveStatistics());
            }


            Stopwatch watch = Stopwatch.createStarted();


            executeBenchmark(benchmark, context);

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  private long _numDataPoints;
  private long _totalSum;


  public StatCollector()
  {
    _stats = new SynchronizedDescriptiveStatistics();
    _stats.setWindowSize(DEFAULT_WINDOW_SIZE);
  }

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