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https://github.com/kunkundi/crossdesk.git
synced 2025-10-27 04:35:34 +08:00
[feat] add robust throughput estimator
This commit is contained in:
@@ -16,15 +16,57 @@
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#include "acknowledged_bitrate_estimator.h"
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#include "api/units/time_delta.h"
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#include "log.h"
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#include "robust_throughput_estimator.h"
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namespace webrtc {
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constexpr char RobustThroughputEstimatorSettings::kKey[];
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RobustThroughputEstimatorSettings::RobustThroughputEstimatorSettings() {
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if (window_packets < 10 || 1000 < window_packets) {
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LOG_WARN("Window size must be between 10 and 1000 packets");
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window_packets = 20;
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}
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if (max_window_packets < 10 || 1000 < max_window_packets) {
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LOG_WARN("Max window size must be between 10 and 1000 packets");
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max_window_packets = 500;
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}
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max_window_packets = std::max(max_window_packets, window_packets);
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if (required_packets < 10 || 1000 < required_packets) {
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LOG_WARN(
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"Required number of initial packets must be between 10 and 1000 "
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"packets");
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required_packets = 10;
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}
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required_packets = std::min(required_packets, window_packets);
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if (min_window_duration < TimeDelta::Millis(100) ||
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TimeDelta::Millis(3000) < min_window_duration) {
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LOG_WARN("Window duration must be between 100 and 3000 ms");
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min_window_duration = TimeDelta::Millis(750);
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}
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if (max_window_duration < TimeDelta::Seconds(1) ||
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TimeDelta::Seconds(15) < max_window_duration) {
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LOG_WARN("Max window duration must be between 1 and 15 s");
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max_window_duration = TimeDelta::Seconds(5);
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}
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min_window_duration = std::min(min_window_duration, max_window_duration);
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if (unacked_weight < 0.0 || 1.0 < unacked_weight) {
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LOG_WARN("Weight for prior unacked size must be between 0 and 1.");
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unacked_weight = 1.0;
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}
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}
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AcknowledgedBitrateEstimatorInterface::
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~AcknowledgedBitrateEstimatorInterface() {}
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std::unique_ptr<AcknowledgedBitrateEstimatorInterface>
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AcknowledgedBitrateEstimatorInterface::Create() {
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return std::make_unique<AcknowledgedBitrateEstimator>();
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// return std::make_unique<AcknowledgedBitrateEstimator>();
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RobustThroughputEstimatorSettings settings;
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return std::make_unique<RobustThroughputEstimator>(settings);
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}
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} // namespace webrtc
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@@ -22,6 +22,44 @@
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namespace webrtc {
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struct RobustThroughputEstimatorSettings {
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static constexpr char kKey[] = "WebRTC-Bwe-RobustThroughputEstimatorSettings";
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RobustThroughputEstimatorSettings();
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// Set `enabled` to true to use the RobustThroughputEstimator, false to use
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// the AcknowledgedBitrateEstimator.
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bool enabled = true;
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// The estimator keeps the smallest window containing at least
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// `window_packets` and at least the packets received during the last
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// `min_window_duration` milliseconds.
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// (This means that it may store more than `window_packets` at high bitrates,
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// and a longer duration than `min_window_duration` at low bitrates.)
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// However, if will never store more than kMaxPackets (for performance
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// reasons), and never longer than max_window_duration (to avoid very old
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// packets influencing the estimate for example when sending is paused).
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unsigned window_packets = 20;
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unsigned max_window_packets = 500;
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TimeDelta min_window_duration = TimeDelta::Seconds(1);
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TimeDelta max_window_duration = TimeDelta::Seconds(5);
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// The estimator window requires at least `required_packets` packets
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// to produce an estimate.
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unsigned required_packets = 10;
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// If audio packets aren't included in allocation (i.e. the
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// estimated available bandwidth is divided only among the video
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// streams), then `unacked_weight` should be set to 0.
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// If audio packets are included in allocation, but not in bandwidth
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// estimation (i.e. they don't have transport-wide sequence numbers,
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// but we nevertheless divide the estimated available bandwidth among
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// both audio and video streams), then `unacked_weight` should be set to 1.
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// If all packets have transport-wide sequence numbers, then the value
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// of `unacked_weight` doesn't matter.
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double unacked_weight = 1.0;
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};
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class AcknowledgedBitrateEstimatorInterface {
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public:
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static std::unique_ptr<AcknowledgedBitrateEstimatorInterface> Create();
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@@ -133,9 +133,17 @@ NetworkControlUpdate CongestionControl::OnTransportPacketsFeedback(
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}
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previously_in_alr_ = alr_start_time.has_value();
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int count = 0;
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for (auto r : report.SortedByReceiveTime()) {
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count++;
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LOG_WARN("{} packet.sent_packet.size: {}", count,
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ToString(r.sent_packet.size));
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}
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acknowledged_bitrate_estimator_->IncomingPacketFeedbackVector(
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report.SortedByReceiveTime());
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auto acknowledged_bitrate = acknowledged_bitrate_estimator_->bitrate();
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LOG_WARN("acknowledged_bitrate:{}", acknowledged_bitrate->kbps());
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// TODO: fix acknowledged_bitrate
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// acknowledged_bitrate = DataRate::KilobitsPerSec(1000);
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bandwidth_estimation_->SetAcknowledgedRate(acknowledged_bitrate,
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190
src/qos/robust_throughput_estimator.cc
Normal file
190
src/qos/robust_throughput_estimator.cc
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@@ -0,0 +1,190 @@
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/*
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* Copyright (c) 2019 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#include "robust_throughput_estimator.h"
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#include <stddef.h>
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#include <algorithm>
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#include <optional>
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#include <utility>
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#include <vector>
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#include "acknowledged_bitrate_estimator_interface.h"
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#include "api/transport/network_types.h"
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#include "api/units/data_rate.h"
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#include "api/units/data_size.h"
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#include "api/units/time_delta.h"
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#include "api/units/timestamp.h"
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#include "log.h"
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namespace webrtc {
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RobustThroughputEstimator::RobustThroughputEstimator(
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const RobustThroughputEstimatorSettings& settings)
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: settings_(settings),
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latest_discarded_send_time_(Timestamp::MinusInfinity()) {}
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RobustThroughputEstimator::~RobustThroughputEstimator() {}
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bool RobustThroughputEstimator::FirstPacketOutsideWindow() {
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if (window_.empty()) return false;
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if (window_.size() > settings_.max_window_packets) return true;
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TimeDelta current_window_duration =
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window_.back().receive_time - window_.front().receive_time;
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if (current_window_duration > settings_.max_window_duration) return true;
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if (window_.size() > settings_.window_packets &&
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current_window_duration > settings_.min_window_duration) {
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return true;
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}
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return false;
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}
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void RobustThroughputEstimator::IncomingPacketFeedbackVector(
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const std::vector<PacketResult>& packet_feedback_vector) {
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for (const auto& packet : packet_feedback_vector) {
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// Ignore packets without valid send or receive times.
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// (This should not happen in production since lost packets are filtered
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// out before passing the feedback vector to the throughput estimator.
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// However, explicitly handling this case makes the estimator more robust
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// and avoids a hard-to-detect bad state.)
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if (packet.receive_time.IsInfinite() ||
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packet.sent_packet.send_time.IsInfinite()) {
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continue;
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}
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// Insert the new packet.
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window_.push_back(packet);
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window_.back().sent_packet.prior_unacked_data =
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window_.back().sent_packet.prior_unacked_data *
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settings_.unacked_weight;
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// In most cases, receive timestamps should already be in order, but in the
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// rare case where feedback packets have been reordered, we do some swaps to
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// ensure that the window is sorted.
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for (size_t i = window_.size() - 1;
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i > 0 && window_[i].receive_time < window_[i - 1].receive_time; i--) {
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std::swap(window_[i], window_[i - 1]);
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}
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constexpr TimeDelta kMaxReorderingTime = TimeDelta::Seconds(1);
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const TimeDelta receive_delta =
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(window_.back().receive_time - packet.receive_time);
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if (receive_delta > kMaxReorderingTime) {
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LOG_WARN("Severe packet re-ordering or timestamps offset changed: {}",
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ToString(receive_delta));
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window_.clear();
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latest_discarded_send_time_ = Timestamp::MinusInfinity();
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}
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}
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// Remove old packets.
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while (FirstPacketOutsideWindow()) {
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latest_discarded_send_time_ = std::max(
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latest_discarded_send_time_, window_.front().sent_packet.send_time);
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window_.pop_front();
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}
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}
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std::optional<DataRate> RobustThroughputEstimator::bitrate() const {
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if (window_.empty() || window_.size() < settings_.required_packets)
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return std::nullopt;
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TimeDelta largest_recv_gap(TimeDelta::Zero());
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TimeDelta second_largest_recv_gap(TimeDelta::Zero());
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for (size_t i = 1; i < window_.size(); i++) {
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// Find receive time gaps.
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TimeDelta gap = window_[i].receive_time - window_[i - 1].receive_time;
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if (gap > largest_recv_gap) {
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second_largest_recv_gap = largest_recv_gap;
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largest_recv_gap = gap;
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} else if (gap > second_largest_recv_gap) {
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second_largest_recv_gap = gap;
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}
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}
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Timestamp first_send_time = Timestamp::PlusInfinity();
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Timestamp last_send_time = Timestamp::MinusInfinity();
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Timestamp first_recv_time = Timestamp::PlusInfinity();
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Timestamp last_recv_time = Timestamp::MinusInfinity();
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DataSize recv_size = DataSize::Bytes(0);
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DataSize send_size = DataSize::Bytes(0);
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DataSize first_recv_size = DataSize::Bytes(0);
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DataSize last_send_size = DataSize::Bytes(0);
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size_t num_sent_packets_in_window = 0;
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for (const auto& packet : window_) {
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if (packet.receive_time < first_recv_time) {
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first_recv_time = packet.receive_time;
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first_recv_size =
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packet.sent_packet.size + packet.sent_packet.prior_unacked_data;
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}
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last_recv_time = std::max(last_recv_time, packet.receive_time);
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recv_size += packet.sent_packet.size;
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recv_size += packet.sent_packet.prior_unacked_data;
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if (packet.sent_packet.send_time < latest_discarded_send_time_) {
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// If we have dropped packets from the window that were sent after
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// this packet, then this packet was reordered. Ignore it from
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// the send rate computation (since the send time may be very far
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// in the past, leading to underestimation of the send rate.)
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// However, ignoring packets creates a risk that we end up without
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// any packets left to compute a send rate.
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continue;
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}
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if (packet.sent_packet.send_time > last_send_time) {
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last_send_time = packet.sent_packet.send_time;
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last_send_size =
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packet.sent_packet.size + packet.sent_packet.prior_unacked_data;
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}
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first_send_time = std::min(first_send_time, packet.sent_packet.send_time);
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send_size += packet.sent_packet.size;
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send_size += packet.sent_packet.prior_unacked_data;
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++num_sent_packets_in_window;
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}
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// Suppose a packet of size S is sent every T milliseconds.
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// A window of N packets would contain N*S bytes, but the time difference
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// between the first and the last packet would only be (N-1)*T. Thus, we
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// need to remove the size of one packet to get the correct rate of S/T.
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// Which packet to remove (if the packets have varying sizes),
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// depends on the network model.
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// Suppose that 2 packets with sizes s1 and s2, are received at times t1
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// and t2, respectively. If the packets were transmitted back to back over
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// a bottleneck with rate capacity r, then we'd expect t2 = t1 + r * s2.
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// Thus, r = (t2-t1) / s2, so the size of the first packet doesn't affect
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// the difference between t1 and t2.
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// Analoguously, if the first packet is sent at time t1 and the sender
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// paces the packets at rate r, then the second packet can be sent at time
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// t2 = t1 + r * s1. Thus, the send rate estimate r = (t2-t1) / s1 doesn't
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// depend on the size of the last packet.
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recv_size -= first_recv_size;
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send_size -= last_send_size;
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// Remove the largest gap by replacing it by the second largest gap.
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// This is to ensure that spurious "delay spikes" (i.e. when the
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// network stops transmitting packets for a short period, followed
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// by a burst of delayed packets), don't cause the estimate to drop.
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// This could cause an overestimation, which we guard against by
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// never returning an estimate above the send rate.
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TimeDelta recv_duration = (last_recv_time - first_recv_time) -
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largest_recv_gap + second_largest_recv_gap;
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recv_duration = std::max(recv_duration, TimeDelta::Millis(1));
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if (num_sent_packets_in_window < settings_.required_packets) {
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// Too few send times to calculate a reliable send rate.
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return recv_size / recv_duration;
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}
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TimeDelta send_duration = last_send_time - first_send_time;
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send_duration = std::max(send_duration, TimeDelta::Millis(1));
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return std::min(send_size / send_duration, recv_size / recv_duration);
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}
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} // namespace webrtc
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50
src/qos/robust_throughput_estimator.h
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50
src/qos/robust_throughput_estimator.h
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@@ -0,0 +1,50 @@
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/*
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* Copyright (c) 2019 The WebRTC project authors. All Rights Reserved.
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*
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* Use of this source code is governed by a BSD-style license
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* that can be found in the LICENSE file in the root of the source
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* tree. An additional intellectual property rights grant can be found
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* in the file PATENTS. All contributing project authors may
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* be found in the AUTHORS file in the root of the source tree.
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*/
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#ifndef MODULES_CONGESTION_CONTROLLER_GOOG_CC_ROBUST_THROUGHPUT_ESTIMATOR_H_
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#define MODULES_CONGESTION_CONTROLLER_GOOG_CC_ROBUST_THROUGHPUT_ESTIMATOR_H_
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#include <deque>
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#include <optional>
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#include <vector>
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#include "acknowledged_bitrate_estimator_interface.h"
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#include "api/transport/network_types.h"
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#include "api/units/data_rate.h"
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#include "api/units/timestamp.h"
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namespace webrtc {
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class RobustThroughputEstimator : public AcknowledgedBitrateEstimatorInterface {
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public:
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explicit RobustThroughputEstimator(
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const RobustThroughputEstimatorSettings& settings);
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~RobustThroughputEstimator() override;
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void IncomingPacketFeedbackVector(
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const std::vector<PacketResult>& packet_feedback_vector) override;
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std::optional<DataRate> bitrate() const override;
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std::optional<DataRate> PeekRate() const override { return bitrate(); }
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void SetAlr(bool /*in_alr*/) override {}
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void SetAlrEndedTime(Timestamp /*alr_ended_time*/) override {}
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private:
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bool FirstPacketOutsideWindow();
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const RobustThroughputEstimatorSettings settings_;
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std::deque<PacketResult> window_;
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Timestamp latest_discarded_send_time_ = Timestamp::MinusInfinity();
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};
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} // namespace webrtc
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#endif // MODULES_CONGESTION_CONTROLLER_GOOG_CC_ROBUST_THROUGHPUT_ESTIMATOR_H_
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