if (!timings.isEmpty()) {
                double avgTime = timings.stream().mapToLong(Long::longValue).average().orElse(0.0);
                long maxTime = timings.stream().mapToLong(Long::longValue).max().orElse(0L);
                long minTime = timings.stream().mapToLong(Long::longValue).min().orElse(0L);

                double variance = (maxTime - minTime) / avgTime;

        if (!responseTimeHistory.isEmpty()) {
            long sum = responseTimeHistory.stream().mapToLong(Long::longValue).sum();
            avgResponseTime.set(sum / responseTimeHistory.size());

            // Calculate 95th percentile
            long[] sortedTimes = responseTimeHistory.stream().mapToLong(Long::longValue).sorted().toArray();
            int p95Index = (int) Math.ceil(0.95 * sortedTimes.length) - 1;

 *   <li>Can be queried without allocating garbage.
 *   <li>Access to {@code LongStream} features (like {@link LongStream#sum}) using {@code stream()}
 *       instead of the awkward {@code stream().mapToLong(v -> v)}.
 * </ul>
 *
 * <p>Disadvantages compared to {@code ImmutableList<Long>}:
 *
 * <ul>
 *   <li>Can't be passed directly to methods that expect {@code Iterable}, {@code Collection}, or

  /**
   * Returns the sum of all values in this map.
   *
   * <p>This method is not atomic: the sum may or may not include other concurrent operations.
   */
  public long sum() {
    return map.values().stream().mapToLong(Long::longValue).sum();
  }

  @LazyInit private transient @Nullable Map<K, Long> asMap;

  /** Returns a live, read-only view of the map backing this {@code AtomicLongMap}. */
  public Map<K, Long> asMap() {

        } else {
            stats.errors.incrementAndGet();
        }
    }
    
    public double getAggregatedThroughput() {
        return channelStats.values().stream()
            .mapToLong(ChannelStatistics::getThroughput)
            .sum();
    }
}
```

## 9. Security Considerations

### 9.1 Channel Binding Security
```java
public class SecureChannelBinding {