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
     */

  command: server http://minio{1...4}/data{1...3}
  env_file:
    - ./minio.env
  expose:
    - "9000"
    - "9001"

# starts 4 docker containers running minio server instances.
# using nginx reverse proxy, load balancing, you can access
# it through port 9000.
services:
  minio1:
    <<: *minio-common
    hostname: minio1
    volumes:
      - data1-1:/data1
      - data1-2:/data2
      - data1-3:/data3

  minio2:

     */
    public PersistentHandleManager getPersistentHandleManager() {
        return persistentHandleManager;
    }

    /**
     * Select transport for the given message using multi-channel load balancing
     *
     * @param message message to send
     * @return selected transport
     */
    public SmbTransportImpl selectTransport(CommonServerMessageBlockRequest message) {
        if (isUseMultiChannel()) {

------------------------------------------------------------------
./gradlew test -Dtests.awaitsfix=[false] - known issue (@AwaitsFix)
------------------------------------------------------------------

=== Load balancing and caches.

By default the tests run on multiple processes using all the available cores on all
available CPUs. Not including hyper-threading.

     * concurrently, returning once any connection connects successfully.
     *
     * This implements Happy Eyeballs ([RFC 6555][rfc_6555]), balancing connect latency vs.
     * wasted resources.
     *
     * Defaults to enabled, call with [fastFallback] = false to revert to 4.x behaviour.
     *
     * [rfc_6555]: https://datatracker.ietf.org/doc/html/rfc6555

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**.

Diese verteilten Containerverwaltungssysteme wie Kubernetes verfügen normalerweise über eine integrierte Möglichkeit, die **Replikation von Containern** zu handhaben und gleichzeitig **Load Balancing** für die eingehenden <abbr title="Request – Anfrage: Daten, die der Client zum Server sendet">Requests</abbr> zu unterstützen. Alles auf **Cluster-Ebene**.

Kubernetes gibi dağıtık container yönetim sistemleri, gelen request'ler için **load balancing** desteği sunarken aynı zamanda **container replication**'ını yönetmek için entegre mekanizmalara sahiptir. Hepsi **cluster seviyesinde**.

    - [**Internationalization**](#internationalization)
    - [**kubectl (CLI)**](#kubectl-cli-1)
    - [**Networking**](#networking)
      - [Network Policy](#network-policy)
      - [Load Balancing](#load-balancing)
    - [**Node Components**](#node-components)
      - [Container Runtime Interface](#container-runtime-interface)
    - [**Scheduling**](#scheduling-1)
      - [Scheduler Extender](#scheduler-extender)