}

    /**
     * Clear all pending operations
     */
    public void clearPendingOperations() {
        pendingOperations.clear();
    }

    /**
     * Calculate channel score for load balancing (higher is better)
     *
     * @return channel score
     */
    public int getScore() {
        int score = 100;

        // Adjust based on state
        if (state == ChannelState.ACTIVE)

     */
    int getChannelBindingPolicy();

    /**
     * Load balancing strategy for multi-channel
     *
     * Property {@code jcifs.smb.client.loadBalancingStrategy} (String, default "adaptive")
     * Values: "round_robin", "least_loaded", "weighted_random", "affinity_based", "adaptive"
     *
     * @return load balancing strategy
     */
    String getLoadBalancingStrategy();

    /**

 * `CLEARTEXT` is an insecure configuration that is used for `http://` URLs.

These loosely follow the model set in [Google Cloud Policies](https://cloud.google.com/load-balancing/docs/ssl-policies-concepts). We [track changes](../security/tls_configuration_history.md) to this policy.

    // Statistics
    private final AtomicLong totalRequests = new AtomicLong(0);
    private final AtomicLong totalChannelsCreated = new AtomicLong(0);

    /**
     * Load balancing strategies for distributing operations across channels.
     */
    public enum LoadBalancingStrategy {
        /** Round-robin distribution */
        ROUND_ROBIN,
        /** Least connections */

One of those distributed container management systems like Kubernetes normally has some integrated way of handling **replication of containers** while still supporting **load balancing** for the incoming requests. All at the **cluster level**.

Uno de esos sistemas de gestión de contenedores distribuidos como Kubernetes normalmente tiene alguna forma integrada de manejar la **replicación de contenedores** mientras aún soporta el **load balancing** para las requests entrantes. Todo a nivel de **cluster**.

        if (duration == 0) return 0;
        return (bytesSent.get() + bytesReceived.get()) * 1000 / duration;
    }
    
    public int getScore() {
        // Calculate channel score for load balancing
        int score = 100;
        
        // Adjust based on state
        if (state == ChannelState.ACTIVE) score -= 20;  // Busy channel

    /**
     * Channel binding policy: -1=not set, 0=disabled, 1=preferred, 2=required
     */
    protected int channelBindingPolicy = -1; // -1=not set, 0=disabled, 1=preferred, 2=required
    /**
     * Load balancing strategy for distributing operations across channels
     */
    protected String loadBalancingStrategy;
    /**
     * Interval in milliseconds for checking channel health
     */

Diese verteilten Containerverwaltungssysteme wie Kubernetes verfügen normalerweise über eine integrierte Möglichkeit, die **Replikation von Containern** zu handhaben und gleichzeitig **Load Balancing** für die eingehenden Requests zu unterstützen. Alles auf **Cluster-Ebene**.

			}
			rebalanceLogIf(GlobalContext, err)

			if quit {
				return
			}

			timer.Reset(randSleepFor())
		}
	}()

	rebalanceLogEvent(ctx, "Pool %d rebalancing is started", poolIdx+1)

	for {
		select {
		case <-ctx.Done():
			doneCh <- ctx.Err()
			return
		default:
		}

		bucket, ok := z.nextRebalBucket(poolIdx)
		if !ok {