return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;
      tmp += UnsignedLongs.parseUnsignedLong(decimalStrings[j]);

 * <p>
 * This class provides precise time measurements using {@link System#nanoTime()}
 * while maintaining wall-clock time information in UTC. The wall-clock time
 * is computed from the monotonic duration since system start to ensure consistency
 * between time measurements.
 * <p>
 * This implementation is singleton-based and always uses UTC timezone. The clock

        Thread.sleep(10); // Small delay
        Instant third = MonotonicClock.now();

        assertTrue(first.isBefore(second), "Time should progress forward between measurements");
        assertTrue(second.isBefore(third), "Time should progress forward between measurements");
    }

    @Test
    @DisplayName("MonotonicClock elapsed time should increase")
    void testElapsedTime() throws InterruptedException {

    return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;
      tmp += UnsignedLongs.parseUnsignedLong(decimalStrings[j]);

        .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")

        }

        // 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")

'left'].indexOf(placement) !== -1;\n  const mainSide = isHoriz ? 'top' : 'left';\n  const secondarySide = isHoriz ? 'left' : 'top';\n  const measurement = isHoriz ? 'height' : 'width';\n  const secondaryMeasurement = !isHoriz ? 'height' : 'width';\n\n  popperOffsets[mainSide] =\n    referenceOffsets[mainSide] +\n    referenceOffsets[measurement] / 2 -\n    popperRect[measurement] / 2;\n  if (placement === secondarySide) {\n    popperOffsets[secondarySide] =\n      referenceOffsets[secondarySide] - popperRe...

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

The CustomCFSQuotaPeriod alpha feature enables node administrators to change the default period used to enforce CFS quota on a node.  This can improve performance for some workloads that experience latency while using CFS quota with the default measurement period.  Finally, the SIG continues to focus on improving reliability by fixing bugs while working out design and implementation of future features.

### SIG-OpenStack