waitingThreadNames.size(), threadName);
                    }
                    return false;
                }
                if (logger.isInfoEnabled()) {
                    logger.info("Cpu Load {}% is greater than {}%. {} waiting thread(s).", current, percent, waitingThreadNames.size());

    return (existingCounter == null) ? 0 : existingCounter.get();
  }

  /**
   * {@inheritDoc}
   *
   * <p>If the data in the multiset is modified by any other threads during this method, it is
   * undefined which (if any) of these modifications will be reflected in the result.
   */
  @Override
  public int size() {
    long sum = 0L;

   * one from the pool. We must take the pooled connection because by taking it from the pool, we've
   * fully acquired it.
   *
   * This test yields threads to force the decision of plan1 to be deliberate and not lucky. In
   * particular, we set up this sequence of events:
   *
   *  1. take plan 0
   *  3. plan 0 connects
   *  4. finish taking plan 1
   *

    // ----------------------------------------------------------------------------
    // We need to allow per execution user and global settings as the embedder
    // might be running in a mode where it's executing many threads with totally
    // different settings.
    // ----------------------------------------------------------------------------

    private File userSettingsFile;

    private File projectSettingsFile;

     * just to be safe.
     *
     * The real purpose of this test is to produce a TSAN failure if MapIteratorCache is unsafe for
     * reads from multiple threads -- unsafe, in fact, even in the absence of a concurrent write.
     * The specific problem we had was unsafe reads of lastEntryReturnedBySomeIterator. (To fix the
     * problem, we've since marked that field as volatile.)
     *

        if (to == FAILED) {
          enqueueFailedEvent(service);
        }

        if (states.count(RUNNING) == numberOfServices) {
          // This means that the manager is currently healthy. N.B. If other threads call isHealthy
          // they are not guaranteed to get 'true', because any service could fail right now.
          enqueueHealthyEvent();

        if (to == FAILED) {
          enqueueFailedEvent(service);
        }

        if (states.count(RUNNING) == numberOfServices) {
          // This means that the manager is currently healthy. N.B. If other threads call isHealthy
          // they are not guaranteed to get 'true', because any service could fail right now.
          enqueueHealthyEvent();

   * instance. This method is guaranteed to only be called once.
   *
   * <p>By default this returns a new {@link ScheduledExecutorService} with a single thread pool
   * that sets the name of the thread to the {@linkplain #serviceName() service name}. Also, the
   * pool will be {@linkplain ScheduledExecutorService#shutdown() shut down} when the service

Пользователей очень много, но ваш сервер всё равно вынужден ждать 🕙 запросы по их слабому интернет-соединению.

Потом снова ждать 🕙, пока вернётся ответ.

<!--https://forum.wordreference.com/threads/%D0%9D%D0%BE-%D0%B5%D1%81%D0%BB%D0%B8.3258695/-->
Это ожидание 🕙 измеряется микросекундами, но если всё сложить, то набегает довольно много времени.

      static_cast<tensorflow::ContextDevicePlacementPolicy>(policy));
}

// Note: this function looks up a thread local policy. So it should be called in
// the appropriate client thread. In particular, in async mode, it may not be
// safe to call this function from the async EagerExecutor threads.
extern TFE_ContextDevicePlacementPolicy TFE_ContextGetDevicePlacementPolicy(
    TFE_Context* ctx) {