// Adaptive strategy based on message type and size

        if (isLargeTransfer(message)) {
            // For large transfers, prefer high-bandwidth channels
            ChannelInfo maxBandwidthChannel = null;
            int maxBandwidth = 0;
            for (ChannelInfo channel : channels) {
                int linkSpeed = channel.getRemoteInterface().getLinkSpeed();

	"github.com/minio/dnscache"
	"github.com/minio/madmin-go/v3"
	"github.com/minio/minio-go/v7"
	"github.com/minio/minio-go/v7/pkg/set"
	"github.com/minio/minio/internal/bpool"
	"github.com/minio/minio/internal/bucket/bandwidth"
	"github.com/minio/minio/internal/config"
	"github.com/minio/minio/internal/config/browser"
	"github.com/minio/minio/internal/grid"
	"github.com/minio/minio/internal/handlers"
	"github.com/minio/minio/internal/kms"

OkHttp
======

See the [project website][okhttp] for documentation and APIs.

HTTP is the way modern applications network. It’s how we exchange data & media. Doing HTTP
efficiently makes your stuff load faster and saves bandwidth.

OkHttp is an HTTP client that’s efficient by default:

 * HTTP/2 support allows all requests to the same host to share a socket.
 * Connection pooling reduces request latency (if HTTP/2 isn’t available).

Do *not* use the MinIO Grid for:

* Large payloads.

Only a single connection is ever made between two servers.
Likely this means that this connection will not be able to saturate network bandwidth.
Therefore, using this for large payloads will likely be slower than using a separate connection,
and other connections will be blocked while the large payload is being sent.

## Handlers & Routes

	getBandwidthRPC                = grid.NewSingleHandler[*grid.URLValues, *bandwidth.BucketBandwidthReport](grid.HandlerGetBandwidth, grid.NewURLValues, func() *bandwidth.BucketBandwidthReport { return &bandwidth.BucketBandwidthReport{} })

		globalBucketMetadataSys = NewBucketMetadataSys()
	} else {
		// Reinitialize safely when testing.
		globalBucketMetadataSys.Reset()
	}

	// Create the bucket bandwidth monitor
	globalBucketMonitor = bandwidth.NewMonitor(ctx, uint64(totalNodeCount()))

	// Create a new config system.
	globalConfigSys = NewConfigSys()

	// Create new IAM system.
	globalIAMSys = NewIAMSys()

	return nil
}

func (sys *BucketTargetSys) updateBandwidthLimit(bucket, arn string, limit int64) {
	if limit == 0 {
		globalBucketMonitor.DeleteBucketThrottle(bucket, arn)
		return
	}
	// Setup bandwidth throttling

	globalBucketMonitor.SetBandwidthLimit(bucket, arn, limit)
}

// RemoveTarget - removes a remote bucket target for this source bucket.

}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *rateMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

	if m.startTime.IsZero() {
		return
	}

	if endTime.Before(m.startTime) {
		return
	}

   * should speed up for a while, to take advantage of these resources. This is important when the
   * rate is applied to networking (limiting bandwidth), where past underutilization typically
   * translates to "almost empty buffers", which can be filled immediately.
   *
   * On the other hand, past underutilization could mean that "the server responsible for handling

# RDMA (SMB Direct) Feature - Detailed Design Document

## 1. Overview

SMB Direct enables high-performance data transfer using Remote Direct Memory Access (RDMA) technology. This provides ultra-low latency and high bandwidth data transfer by bypassing the traditional TCP/IP stack and allowing direct memory-to-memory transfers between client and server.

## 2. Protocol Specification Reference

- **MS-SMBD**: SMB2 Remote Direct Memory Access (RDMA) Transport Protocol