atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *rateMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

	if m.startTime.IsZero() {
		return
	}

        }

        // Add to history for percentile calculation
        responseTimeHistory.addLast(responseTimeMs);
        if (responseTimeHistory.size() > 1000) { // Keep last 1000 measurements
            responseTimeHistory.removeFirst();
        }

        // Calculate moving average (simple approach)
        if (!responseTimeHistory.isEmpty()) {

        .matches("[^\\[]+\\[status=SUCCESS, result=\\[java.lang.Boolean@\\w+\\]\\]");
  }

  /**
   * This test attempts to cause a future to wait for longer than it was requested to from a timed
   * get() call. As measurements of time are prone to flakiness, it tries to assert based on ranges
   * derived from observing how much time actually passed for various operations.
   */
  @SuppressWarnings("ThreadPriorityCheck")

        .matches("[^\\[]+\\[status=SUCCESS, result=\\[java.lang.Boolean@\\w+\\]\\]");
  }

  /**
   * This test attempts to cause a future to wait for longer than it was requested to from a timed
   * get() call. As measurements of time are prone to flakiness, it tries to assert based on ranges
   * derived from observing how much time actually passed for various operations.
   */
  @SuppressWarnings("ThreadPriorityCheck")

 * iterations, to properly test the cache benefits within each measurement period.
 */
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.MICROSECONDS)
@Warmup(iterations = 3, time = 1)
@Measurement(iterations = 5, time = 10)
@Fork(1)
@State(Scope.Benchmark)
public class CompositeBeanHelperPerformanceTest {

    private ConverterLookup converterLookup;

volume plugin path on each kubelet node. This is an alpha feature and may
change in future.
  * Kubelet exposes a new Alpha metrics API - /stats/summary in a user friendly format with reduced system overhead. The measurement is done in PR [#22542](https://github.com/kubernetes/kubernetes/pull/22542).

### Action required

  * Docker v1.9.1 is officially recommended. Docker v1.8.3 and Docker v1.10 are