byte[] customData = new byte[8];
        customData[0] = 0x01;
        customData[1] = 0x02;

        byte[] machineId = new byte[32];
        machineId[0] = 0x10;
        machineId[1] = 0x11;
        machineId[2] = 0x12;

        AvSingleHost avSingleHost = new AvSingleHost(customData, machineId);

        assertNotNull(avSingleHost);
        byte[] value = avSingleHost.getRaw();
        assertNotNull(value);

        this(encode(customData, machineId));
    }

    private static byte[] encode(final byte[] customData, final byte[] machineId) {
        final int size = 8 + 8 + 32;
        final byte[] enc = new byte[size];
        SMBUtil.writeInt4(size, enc, 0);
        SMBUtil.writeInt4(0, enc, 4);
        System.arraycopy(customData, 0, enc, 8, 8);
        System.arraycopy(machineId, 0, enc, 16, 32);

        NetbiosAddress mockHost = mock(NetbiosAddress.class);
        SecureRandom mockRandom = mock(SecureRandom.class);

        // Create a machine ID (32 bytes)
        byte[] machineId = new byte[32];
        mockRandom.nextBytes(machineId);

        lenient().when(mockConfig.getDefaultDomain()).thenReturn("TESTDOMAIN");
        lenient().when(mockConfig.isUseUnicode()).thenReturn(true);

        // Use reflection to set private field
        java.lang.reflect.Field machineIdField = BaseConfiguration.class.getDeclaredField("machineId");
        machineIdField.setAccessible(true);
        machineIdField.set(testConfig, customMachineId);

        testConfig.initDefaults();

        assertArrayEquals(customMachineId, testConfig.getMachineId());
    }

    @Test

        this.localTimeZone = TimeZone.getDefault();
        this.random = new SecureRandom();

        if (this.machineId == null) {
            final byte[] mid = new byte[32];
            this.random.nextBytes(mid);
            this.machineId = mid;
        }

        if (this.nativeOs == null) {
            this.nativeOs = System.getProperty("os.name");
        }

  - [Urgent Upgrade Notes](#urgent-upgrade-notes)
    - [(No, really, you MUST do this before you upgrade)](#no-really-you-must-do-this-before-you-upgrade)
  - [Major Themes](#major-themes)
    - [SIG API Machinery](#sig-api-machinery)
    - [SIG Auth](#sig-auth)
    - [SIG CLI](#sig-cli)
    - [SIG Cluster Lifecycle](#sig-cluster-lifecycle)
    - [SIG Instrumentation](#sig-instrumentation)
    - [SIG Network](#sig-network)

    - [Node Binaries](#node-binaries-13)
  - [Major Themes](#major-themes)
    - [Node](#node)
    - [Storage](#storage)
    - [Windows](#windows)
    - [OpenStack](#openstack)
    - [API-machinery](#api-machinery)
    - [Auth](#auth)
    - [Azure](#azure)
    - [CLI](#cli)
    - [Network](#network)
  - [Before Upgrading](#before-upgrading)
  - [Known Issues](#known-issues)
  - [Deprecations](#deprecations)

Les conteneurs Linux s'exécutent en utilisant le même noyau Linux que l'hôte (machine, machine virtuelle, serveur cloud, etc.). Cela signifie simplement qu'ils sont très légers (comparés à des machines virtuelles complètes émulant un système d'exploitation entier).

Ainsi, les conteneurs consomment **peu de ressources**, une quantité comparable à l'exécution directe des processus (alors qu'une machine virtuelle consommerait beaucoup plus).

title: TensorFlow, Large-scale machine learning on heterogeneous systems

Linux containers run using the same Linux kernel of the host (machine, virtual machine, cloud server, etc). This just means that they are very lightweight (compared to full virtual machines emulating an entire operating system).

This way, containers consume **little resources**, an amount comparable to running the processes directly (a virtual machine would consume much more).