mirror of
https://github.com/livekit/livekit.git
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cd718c84f6
Cosmetic. While thinking through how to structure probing better, noticing small things here and there. Cleaning up and making some small PRs along the way.
599 lines
16 KiB
Go
599 lines
16 KiB
Go
// Copyright 2023 LiveKit, Inc.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Design of Prober
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//
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// Probing is used to check for existence of excess channel capacity.
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// This is especially useful in the downstream direction of SFU.
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// SFU forwards audio/video streams from one or more publishers to
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// all the subscribers. But, the downstream channel of a subscriber
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// may not be big enough to carry all the streams. It is also a time
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// varying quantity.
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//
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// When there is not enough capacity, some streams will be paused.
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// To resume a stream, SFU would need to know that the channel has
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// enough capacity. That's where probing comes in. When conditions
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// are favorable, SFU can send probe packets so that the bandwidth
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// estimator has more data to estimate available channel capacity
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// better.
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// NOTE: What defines `favorable conditions` is implementation dependent.
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//
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// There are two options for probing
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// - Use padding only RTP packets: This one is preferable as
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// probe rate can be controlled more tightly.
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// - Resume a paused stream or forward a higher spatial layer:
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// Have to find a stream at probing rate. Also, a stream could
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// get a key frame unexpectedly boosting rate in the probing
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// window.
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//
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// The strategy used depends on stream allocator implementation.
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// This module can be used if the stream allocator decides to use
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// padding only RTP packets for probing purposes.
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//
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// Implementation:
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// There are a couple of options
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// - Check prober in the forwarding path (pull from prober).
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// This is preferred for scalability reasons. But, this
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// suffers from not being able to probe when all streams
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// are paused (could be due to downstream bandwidth
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// constraints or the corresponding upstream tracks may
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// have paused due to upstream bandwidth constraints).
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// Another issue is not being to have tight control on
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// probing window boundary as the packet forwarding path
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// may not have a packet to forward. But, it should not
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// be a major concern as long as some stream(s) is/are
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// forwarded as there should be a packet at least every
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// 60 ms or so (forwarding only one stream at 15 fps).
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// Usually, it will be serviced much more frequently when
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// there are multiple streams getting forwarded.
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// - Run it a go routine. But, that would have to wake up
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// very often to prevent bunching up of probe
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// packets. So, a scalability concern as there is one prober
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// per subscriber peer connection. But, probe windows
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// should be very short (of the order of 100s of ms).
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// So, this approach might be fine.
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//
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// The implementation here follows the second approach of using a
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// go routine.
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//
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// Pacing:
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// ------
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// Ideally, the subscriber peer connection should have a pacer which
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// trickles data out at the estimated channel capacity rate (and
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// estimated channel capacity + probing rate when actively probing).
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//
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// But, there a few significant challenges
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// 1. Pacer will require buffering of forwarded packets. That means
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// more memory, more CPU (have to make copy of packets) and
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// more latency in the media stream.
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// 2. Scalability concern as SFU may be handling hundreds of
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// subscriber peer connections and each one processing the pacing
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// loop at 5ms interval will add up.
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//
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// So, this module assumes that pacing is inherently provided by the
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// publishers for media streams. That is a reasonable assumption given
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// that publishing clients will run their own pacer and pacing data out
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// at a steady rate.
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//
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// A further assumption is that if there are multiple publishers for
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// a subscriber peer connection, all the publishers are not pacing
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// in sync, i.e. each publisher's pacer is completely independent
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// and SFU will be receiving the media packets with a good spread and
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// not clumped together.
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//
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// Given those assumptions, this module monitors media send rate and
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// adjusts probing packet sends accordingly. Although the probing may
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// have a high enough wake up frequency, it is for short windows.
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// For example, probing at 5 Mbps for 1/2 second and sending 1000 byte
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// probe per iteration will wake up every 1.6 ms. That is very high,
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// but should last for 1/2 second or so.
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//
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// 5 Mbps over 1/2 second = 2.5 Mbps
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// 2.5 Mbps = 312500 bytes = 313 probes at 1000 byte probes
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// 313 probes over 1/2 second = 1.6 ms between probes
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//
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// A few things to note
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// 1. When a probe cluster is added, the expected media rate is provided.
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// So, the wake-up interval takes that into account. For example,
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// if probing at 5 Mbps for 1/2 second and if 4 Mbps of it is expected
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// to be provided by media traffic, the wake-up interval becomes 8 ms.
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// 2. The amount of probing should actually be capped at some value to
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// avoid too much self-induced congestion. It maybe something like 500 kbps.
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// That will increase the wake-up interval to 16 ms in the above example.
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// 3. In practice, the probing interval may also be shorter. Typically,
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// it can be run for 2 - 3 RTTs to get a good measurement. For
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// the longest hauls, RTT could be 250 ms or so leading to the probing
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// window being long(ish). But, RTT should be much shorter especially if
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// the subscriber peer connection of the client is able to connect to
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// the nearest data center.
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package ccutils
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import (
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"fmt"
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"sync"
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"time"
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"github.com/gammazero/deque"
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"go.uber.org/atomic"
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"github.com/livekit/protocol/logger"
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)
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type ProberListener interface {
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OnSendProbe(bytesToSend int)
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OnProbeClusterDone(info ProbeClusterInfo)
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OnActiveChanged(isActive bool)
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}
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type ProberParams struct {
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Listener ProberListener
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Logger logger.Logger
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}
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type Prober struct {
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params ProberParams
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clusterId atomic.Uint32
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clustersMu sync.RWMutex
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clusters deque.Deque[*Cluster]
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activeCluster *Cluster
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activeStateQueue []bool
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activeStateQueueInProcess atomic.Bool
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}
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func NewProber(params ProberParams) *Prober {
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p := &Prober{
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params: params,
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}
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p.clusters.SetMinCapacity(2)
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return p
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}
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func (p *Prober) IsRunning() bool {
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p.clustersMu.RLock()
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defer p.clustersMu.RUnlock()
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return p.clusters.Len() > 0
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}
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func (p *Prober) Reset() {
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reset := false
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var info ProbeClusterInfo
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p.clustersMu.Lock()
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if p.activeCluster != nil {
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p.params.Logger.Debugw("prober: resetting active cluster", "cluster", p.activeCluster.String())
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reset = true
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info = p.activeCluster.GetInfo()
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}
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p.clusters.Clear()
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p.activeCluster = nil
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p.activeStateQueue = append(p.activeStateQueue, false)
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p.clustersMu.Unlock()
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if reset {
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if p.params.Listener != nil {
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p.params.Listener.OnProbeClusterDone(info)
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}
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}
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p.processActiveStateQueue()
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}
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func (p *Prober) AddCluster(mode ProbeClusterMode, desiredRateBps int, expectedRateBps int, minDuration time.Duration, maxDuration time.Duration) ProbeClusterId {
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if desiredRateBps <= 0 {
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return ProbeClusterIdInvalid
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}
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clusterId := ProbeClusterId(p.clusterId.Inc())
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cluster := newCluster(
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clusterId,
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mode,
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desiredRateBps,
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expectedRateBps,
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minDuration,
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maxDuration,
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p.params.Listener,
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)
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p.params.Logger.Debugw("cluster added", "cluster", cluster.String())
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p.pushBackClusterAndMaybeStart(cluster)
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return clusterId
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}
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func (p *Prober) PacketsSent(size int) {
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cluster := p.getFrontCluster()
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if cluster == nil {
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return
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}
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cluster.PacketsSent(size)
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}
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func (p *Prober) ProbeSent(size int) {
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cluster := p.getFrontCluster()
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if cluster == nil {
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return
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}
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cluster.ProbeSent(size)
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}
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func (p *Prober) getFrontCluster() *Cluster {
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p.clustersMu.Lock()
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defer p.clustersMu.Unlock()
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if p.activeCluster != nil {
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return p.activeCluster
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}
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if p.clusters.Len() == 0 {
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p.activeCluster = nil
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} else {
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p.activeCluster = p.clusters.Front()
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p.activeCluster.Start()
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}
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return p.activeCluster
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}
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func (p *Prober) popFrontCluster(cluster *Cluster) {
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p.clustersMu.Lock()
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if p.clusters.Len() == 0 {
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p.activeCluster = nil
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p.clustersMu.Unlock()
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return
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}
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if p.clusters.Front() == cluster {
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p.clusters.PopFront()
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}
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if cluster == p.activeCluster {
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p.activeCluster = nil
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}
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if p.clusters.Len() == 0 {
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p.activeStateQueue = append(p.activeStateQueue, false)
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}
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p.clustersMu.Unlock()
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p.processActiveStateQueue()
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}
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func (p *Prober) pushBackClusterAndMaybeStart(cluster *Cluster) {
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p.clustersMu.Lock()
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p.clusters.PushBack(cluster)
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if p.clusters.Len() == 1 {
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p.activeStateQueue = append(p.activeStateQueue, true)
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go p.run()
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}
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p.clustersMu.Unlock()
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p.processActiveStateQueue()
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}
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func (p *Prober) processActiveStateQueue() {
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if p.activeStateQueueInProcess.Swap(true) {
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// processing queue
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return
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}
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for {
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p.clustersMu.Lock()
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if len(p.activeStateQueue) == 0 {
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p.clustersMu.Unlock()
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break
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}
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isActive := p.activeStateQueue[0]
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p.activeStateQueue = p.activeStateQueue[1:]
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p.clustersMu.Unlock()
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if p.params.Listener != nil {
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p.params.Listener.OnActiveChanged(isActive)
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}
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}
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p.activeStateQueueInProcess.Store(false)
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}
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func (p *Prober) run() {
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// determine how long to sleep
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cluster := p.getFrontCluster()
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if cluster == nil {
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return
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}
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timer := time.NewTimer(cluster.GetSleepDuration())
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for {
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<-timer.C
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// wake up and check for probes to send
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cluster = p.getFrontCluster()
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if cluster == nil {
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return
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}
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cluster.Process()
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if cluster.IsFinished() {
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p.params.Logger.Debugw("cluster finished", "cluster", cluster.String())
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if p.params.Listener != nil {
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p.params.Listener.OnProbeClusterDone(cluster.GetInfo())
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}
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p.popFrontCluster(cluster)
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}
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// determine how long to sleep
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cluster := p.getFrontCluster()
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if cluster == nil {
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return
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}
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timer.Reset(cluster.GetSleepDuration())
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}
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}
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// ---------------------------------
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type ProbeClusterId uint32
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const (
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ProbeClusterIdInvalid ProbeClusterId = 0
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cBucketDuration = 100 * time.Millisecond
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cBytesPerProbe = 1000
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cMinProbeRateBps = 10000
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)
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// -----------------------------------
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type ProbeClusterMode int
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const (
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ProbeClusterModeUniform ProbeClusterMode = iota
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ProbeClusterModeLinearChirp
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)
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func (p ProbeClusterMode) String() string {
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switch p {
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case ProbeClusterModeUniform:
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return "UNIFORM"
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case ProbeClusterModeLinearChirp:
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return "LINEAR_CHIRP"
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default:
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return fmt.Sprintf("%d", int(p))
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}
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}
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// ---------------------------------------------------------------------------
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type ProbeClusterInfo struct {
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Id ProbeClusterId
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BytesSent int
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Duration time.Duration
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}
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type clusterBucket struct {
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desiredBytes int
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desiredElapsedTime time.Duration
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sleepDuration time.Duration
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}
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type Cluster struct {
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lock sync.RWMutex
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id ProbeClusterId
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mode ProbeClusterMode
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listener ProberListener
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desiredBytes int
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minDuration time.Duration
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maxDuration time.Duration
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buckets []clusterBucket
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bucketIdx int
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bytesSentProbe int
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bytesSentNonProbe int
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startTime time.Time
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}
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func newCluster(
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id ProbeClusterId,
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mode ProbeClusterMode,
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desiredRateBps int,
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expectedRateBps int,
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minDuration time.Duration,
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maxDuration time.Duration,
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listener ProberListener,
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) *Cluster {
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c := &Cluster{
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id: id,
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mode: mode,
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minDuration: minDuration,
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maxDuration: maxDuration,
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}
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c.initBuckets(desiredRateBps, expectedRateBps, minDuration)
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c.desiredBytes = c.buckets[len(c.buckets)-1].desiredBytes
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return c
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}
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func (c *Cluster) initBuckets(desiredRateBps int, expectedRateBps int, minDuration time.Duration) {
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// split into granular buckets
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// NOTE: splitting even if mode is unitform
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numBuckets := int((minDuration.Milliseconds() + cBucketDuration.Milliseconds() - 1) / cBucketDuration.Milliseconds())
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if numBuckets < 1 {
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numBuckets = 1
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}
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expectedRateBytesPerSec := (expectedRateBps + 7) / 8
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baseProbeRateBps := (desiredRateBps - expectedRateBps + numBuckets - 1) / numBuckets
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runningDesiredBytes := 0
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runningDesiredElapsedTime := time.Duration(0)
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c.buckets = make([]clusterBucket, 0, numBuckets)
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for bucketIdx := 0; bucketIdx < numBuckets; bucketIdx++ {
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multiplier := numBuckets
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if c.mode == ProbeClusterModeLinearChirp {
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multiplier = bucketIdx + 1
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}
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bucketProbeRateBps := baseProbeRateBps * multiplier
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if bucketProbeRateBps < cMinProbeRateBps {
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bucketProbeRateBps = cMinProbeRateBps
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}
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bucketProbeRateBytesPerSec := (bucketProbeRateBps + 7) / 8
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// pace based on bytes per probe
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numProbesPerSec := (bucketProbeRateBytesPerSec + cBytesPerProbe - 1) / cBytesPerProbe
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sleepDurationMicroSeconds := int(float64(1_000_000)/float64(numProbesPerSec) + 0.5)
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runningDesiredBytes += (((bucketProbeRateBytesPerSec + expectedRateBytesPerSec) * int(cBucketDuration.Milliseconds())) + 999) / 1000
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runningDesiredElapsedTime += cBucketDuration
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c.buckets = append(c.buckets, clusterBucket{
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desiredBytes: runningDesiredBytes,
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desiredElapsedTime: runningDesiredElapsedTime,
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sleepDuration: time.Duration(sleepDurationMicroSeconds) * time.Microsecond,
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})
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}
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}
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func (c *Cluster) Start() {
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c.lock.Lock()
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defer c.lock.Unlock()
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if c.startTime.IsZero() {
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c.startTime = time.Now()
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}
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}
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func (c *Cluster) GetSleepDuration() time.Duration {
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c.lock.RLock()
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defer c.lock.RUnlock()
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return c.buckets[c.bucketIdx].sleepDuration
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}
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func (c *Cluster) PacketsSent(size int) {
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c.lock.Lock()
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defer c.lock.Unlock()
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c.bytesSentNonProbe += size
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}
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func (c *Cluster) ProbeSent(size int) {
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c.lock.Lock()
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defer c.lock.Unlock()
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c.bytesSentProbe += size
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}
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func (c *Cluster) IsFinished() bool {
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c.lock.RLock()
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defer c.lock.RUnlock()
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// if already past deadline, end the cluster
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timeElapsed := time.Since(c.startTime)
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if timeElapsed > c.maxDuration {
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return true
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}
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// do not end cluster until minDuration elapses even if rate is achieved.
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// Ensures that the next cluster (if any) does not start early.
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if (c.bytesSentProbe+c.bytesSentNonProbe) >= c.desiredBytes && timeElapsed >= c.minDuration {
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return true
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}
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return false
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}
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func (c *Cluster) GetInfo() ProbeClusterInfo {
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c.lock.RLock()
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defer c.lock.RUnlock()
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return ProbeClusterInfo{
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Id: c.id,
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BytesSent: c.bytesSentProbe + c.bytesSentNonProbe,
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Duration: time.Since(c.startTime),
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}
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}
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func (c *Cluster) Process() {
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c.lock.RLock()
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timeElapsed := time.Since(c.startTime)
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// Calculate number of probe bytes that should have been sent since start.
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// Overall goal is to send desired number of probe bytes in minDuration.
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// However, it is possible that timeElapsed is more than minDuration due
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// to scheduling variance. When overshooting time budget, use a capped
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// short fall if there is a grace period given.
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bytesShortFall := c.buckets[c.bucketIdx].desiredBytes - c.bytesSentProbe - c.bytesSentNonProbe
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if bytesShortFall < 0 {
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bytesShortFall = 0
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}
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// cap short fall to limit to 5 packets in an iteration
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|
// 275 bytes per packet (255 max RTP padding payload + 20 bytes RTP header)
|
|
if bytesShortFall > (275 * 5) {
|
|
bytesShortFall = 275 * 5
|
|
}
|
|
// round up to packet size
|
|
bytesShortFall = ((bytesShortFall + 274) / 275) * 275
|
|
|
|
// move to next bucket if necessary
|
|
if timeElapsed > c.buckets[c.bucketIdx].desiredElapsedTime {
|
|
c.bucketIdx++
|
|
if c.bucketIdx >= len(c.buckets) {
|
|
c.bucketIdx = len(c.buckets) - 1
|
|
}
|
|
}
|
|
c.lock.RUnlock()
|
|
|
|
if bytesShortFall > 0 && c.listener != nil {
|
|
c.listener.OnSendProbe(bytesShortFall)
|
|
}
|
|
|
|
// STREAM-ALLOCATOR-TODO look at adapting sleep time based on how many bytes and how much time is left
|
|
}
|
|
|
|
func (c *Cluster) String() string {
|
|
activeTimeMs := int64(0)
|
|
if !c.startTime.IsZero() {
|
|
activeTimeMs = time.Since(c.startTime).Milliseconds()
|
|
}
|
|
|
|
return fmt.Sprintf("id: %d, mode: %s, bytes: desired %d / probe %d / non-probe %d / remaining: %d, time(ms): active %d / min %d / max %d",
|
|
c.id,
|
|
c.mode,
|
|
c.desiredBytes,
|
|
c.bytesSentProbe,
|
|
c.bytesSentNonProbe,
|
|
c.desiredBytes-c.bytesSentProbe-c.bytesSentNonProbe,
|
|
activeTimeMs,
|
|
c.minDuration.Milliseconds(),
|
|
c.maxDuration.Milliseconds())
|
|
}
|
|
|
|
// ----------------------------------------------------------------------
|