private final CountDownLatch stopLatch = new CountDownLatch(1);

    private volatile boolean running = false;

    @Override
    public @Nullable Void call() throws InterruptedException {
      running = true;
      startLatch.countDown();
      stopLatch.await();
      running = false;
      return null;
    }

    public void waitForStart() throws InterruptedException {

                startedCrawlerNum++;
                activeCrawlerNum++;
                ThreadUtil.sleep(crawlingExecutionInterval);
                continue;
            }

            // check status
            for (int i = 0; i < startedCrawlerNum; i++) {
                if (!dataCrawlingThreadList.get(i).isRunning() && Constants.RUNNING.equals(dataCrawlingThreadStatusList.get(i))) {

And the **container** itself (in contrast to the **container image**) is the actual running instance of the image, comparable to a **process**. In fact, a container is running only when it has a **process running** (and normally it's only a single process). The container stops when there's no process running in it.

## Container Images

// Package-wide variables from generator "generated".
option go_package = "k8s.io/api/node/v1";

// Overhead structure represents the resource overhead associated with running a pod.
message Overhead {
  // podFixed represents the fixed resource overhead associated with running a pod.
  // +optional
  map<string, k8s.io.apimachinery.pkg.api.resource.Quantity> podFixed = 1;
}

    val c1 = factory.newConnection(pool, routeA1, 50L)

    // Running at time 50, the pool returns that nothing can be evicted until time 150.
    assertThat(pool.closeConnections(50L)).isEqualTo(100L)
    assertThat(pool.connectionCount()).isEqualTo(1)
    assertThat(c1.socket().isClosed).isFalse()

    // Running at time 60, the pool returns that nothing can be evicted until time 150.

    private static final int MAX_LOOP_COUNT = 10;

    protected Thread runningThread;

    protected AtomicBoolean running = new AtomicBoolean();

    public AccessTimeoutTarget(final Thread thread) {
        runningThread = thread;
        running.set(true);
    }

    /*
     * (non-Javadoc)
     *
     * @see org.seasar.extension.timer.TimeoutTarget#expired()
     */
    @Override

    + row.withPanels([
      panels.timeSeries.simple('Pilot Versions', queries.istioBuild, 'Version number of each running instance'),
    ]),
  ], panelHeight=5)
  + grid.makeGrid([
    row.new('Resource Usage')
    + row.withPanels([
      panels.timeSeries.bytes('Memory Usage', queries.goMemoryUsage, 'Memory usage of each running instance'),

research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running
and leak or tamper with applications from other users. Please report
vulnerabilities to the vendor of the affected hardware accelerator.

  // The total number of nodes that should be running the daemon
  // pod (including nodes correctly running the daemon pod).
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/
  optional int32 desiredNumberScheduled = 3;

  // numberReady is the number of nodes that should be running the daemon pod and have one
  // or more of the daemon pod running with a Ready Condition.
  optional int32 numberReady = 4;

    assertLessThan(NEW, STARTING);
    assertLessThan(NEW, TERMINATED);

    assertLessThan(STARTING, RUNNING);
    assertLessThan(STARTING, STOPPING);
    assertLessThan(STARTING, FAILED);

    assertLessThan(RUNNING, STOPPING);
    assertLessThan(RUNNING, FAILED);

    assertLessThan(STOPPING, FAILED);
    assertLessThan(STOPPING, TERMINATED);
  }