# areas may be consumed
vm.max_map_count=524288

# Default is 500000 = 0.5ms
kernel.sched_migration_cost_ns=5000000

# stalled hdd io threads
kernel.hung_task_timeout_secs=85

# network tuning for bigger throughput
net.core.netdev_max_backlog=250000
net.core.somaxconn=16384
net.ipv4.tcp_syncookies=0
net.ipv4.tcp_max_syn_backlog=16384
net.core.wmem_max=4194304
net.core.rmem_max=4194304
net.core.rmem_default=4194304

            String throughput = "";
            long duration = System.currentTimeMillis() - resource.getTransferStartTime();
            if (duration > 0) {
                DecimalFormat format = new DecimalFormat("0.0", new DecimalFormatSymbols(Locale.ENGLISH));
                double kbPerSec = (contentLength / 1024.0) / (duration / 1000.0);
                throughput = " at " + format.format(kbPerSec) + " KB/sec";

        long total = requestsSent.get();
        if (total == 0)
            return 0.0;
        return (double) errors.get() / total;
    }

    /**
     * Get throughput in bytes per second
     *
     * @return throughput in bps
     */
    public long getThroughput() {
        long duration = System.currentTimeMillis() - establishedTime;
        if (duration == 0)
            return 0;

        }
        return totalReceiveTime.get() / (double) receives / 1000.0; // Convert to microseconds
    }

    /**
     * Calculate total throughput in MB/s based on total time
     *
     * @param totalTimeSeconds total elapsed time in seconds
     * @return throughput in MB/s
     */
    public double getThroughputMBps(double totalTimeSeconds) {
        if (totalTimeSeconds <= 0.0) {
            return 0.0;

        try {
            Thread.sleep(10);
        } catch (InterruptedException e) {
            Thread.currentThread().interrupt();
        }

        long throughput = channelInfo.getThroughput();
        assertTrue(throughput > 0);
    }

    @Test
    void testEquals() {
        ChannelInfo other = new ChannelInfo("test-channel", mockTransport, localInterface, remoteInterface);

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.
Typically, enabling compression on spinning disk systems

	duration         time.Duration
	autotune         bool
	storageClass     string
	bucketName       string
	enableSha256     bool
	enableMultipart  bool
	creds            auth.Credentials
}

// Get the max throughput and iops numbers.
func objectSpeedTest(ctx context.Context, opts speedTestOpts) chan madmin.SpeedTestResult {
	ch := make(chan madmin.SpeedTestResult, 1)
	go func() {
		defer xioutil.SafeClose(ch)

    
    SmbFile file = new SmbFile("smb://server/share/largefile.dat", context);
    
    // Measure single channel throughput
    long singleChannelTime = measureReadTime(file, false);
    
    // Measure multi-channel throughput
    long multiChannelTime = measureReadTime(file, true);
    
    // Multi-channel should be faster

 * sum that is used for purposes such as collecting statistics, not for fine-grained synchronization
 * control. Under low update contention, the two classes have similar characteristics. But under
 * high contention, expected throughput of this class is significantly higher, at the expense of
 * higher space consumption.
 *
 * <p>This class extends {@link Number}, but does not define methods such as {@code

E24HH4nNMcgY5taynaPfxu  replicate       minioadmin      1 minute ago
```

### Real-time 'status' for a batch job
```
mc batch status myminio/ E24HH4nNMcgY5taynaPfxu
●∙∙
Objects:        28766
Versions:       28766
Throughput:     3.0 MiB/s
Transferred:    406 MiB
Elapsed:        2m14.227222868s
CurrObjName:    share/doc/xml-core/examples/foo.xmlcatalogs
```

### 'describe' the batch job yaml.
```