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Issue 182523002: Land Recent QUIC Changes. (Closed) Base URL: svn://svn.chromium.org/chrome/trunk/src
Patch Set: fixed rch's comments in Patch set 1 of CL 181463007 Created 6 years, 9 months ago
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1 // Copyright (c) 2012 The Chromium Authors. All rights reserved. 1 // Copyright (c) 2012 The Chromium Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style license that can be 2 // Use of this source code is governed by a BSD-style license that can be
3 // found in the LICENSE file. 3 // found in the LICENSE file.
4 4
5 #include "net/quic/congestion_control/cubic.h" 5 #include "net/quic/congestion_control/cubic.h"
6 6
7 #include <algorithm> 7 #include <algorithm>
8 8
9 #include "base/basictypes.h" 9 #include "base/basictypes.h"
10 #include "base/logging.h" 10 #include "base/logging.h"
11 #include "base/time/time.h" 11 #include "base/time/time.h"
12 #include "net/quic/congestion_control/cube_root.h" 12 #include "net/quic/congestion_control/cube_root.h"
13 #include "net/quic/quic_protocol.h" 13 #include "net/quic/quic_protocol.h"
14 14
15 using std::max; 15 using std::max;
16 16
17 namespace net { 17 namespace net {
18 18
19 namespace { 19 namespace {
20
20 // Constants based on TCP defaults. 21 // Constants based on TCP defaults.
21 // The following constants are in 2^10 fractions of a second instead of ms to 22 // The following constants are in 2^10 fractions of a second instead of ms to
22 // allow a 10 shift right to divide. 23 // allow a 10 shift right to divide.
23 const int kCubeScale = 40; // 1024*1024^3 (first 1024 is from 0.100^3) 24 const int kCubeScale = 40; // 1024*1024^3 (first 1024 is from 0.100^3)
24 // where 0.100 is 100 ms which is the scaling 25 // where 0.100 is 100 ms which is the scaling
25 // round trip time. 26 // round trip time.
26 const int kCubeCongestionWindowScale = 410; 27 const int kCubeCongestionWindowScale = 410;
27 const uint64 kCubeFactor = (GG_UINT64_C(1) << kCubeScale) / 28 const uint64 kCubeFactor = (GG_UINT64_C(1) << kCubeScale) /
28 kCubeCongestionWindowScale; 29 kCubeCongestionWindowScale;
29 30
30 const uint32 kNumConnections = 2; 31 const uint32 kNumConnections = 2;
31 const float kBeta = 0.7f; // Default Cubic backoff factor. 32 const float kBeta = 0.7f; // Default Cubic backoff factor.
32 // Additional backoff factor when loss occurs in the concave part of the Cubic 33 // Additional backoff factor when loss occurs in the concave part of the Cubic
33 // curve. This additional backoff factor is expected to give up bandwidth to 34 // curve. This additional backoff factor is expected to give up bandwidth to
34 // new concurrent flows and speed up convergence. 35 // new concurrent flows and speed up convergence.
35 const float kBetaLastMax = 0.85f; 36 const float kBetaLastMax = 0.85f;
36 37
37 // kNConnectionBeta is the backoff factor after loss for our N-connection 38 // kNConnectionBeta is the backoff factor after loss for our N-connection
38 // emulation, which emulates the effective backoff of an ensemble of N TCP-Reno 39 // emulation, which emulates the effective backoff of an ensemble of N TCP-Reno
39 // connections on a single loss event. The effective multiplier is computed as: 40 // connections on a single loss event. The effective multiplier is computed as:
40 const float kNConnectionBeta = (kNumConnections - 1 + kBeta) / kNumConnections; 41 const float kNConnectionBeta = (kNumConnections - 1 + kBeta) / kNumConnections;
41 42
42 // TCPFriendly alpha is described in Section 3.3 of the CUBIC paper. Note that 43 // TCPFriendly alpha is described in Section 3.3 of the CUBIC paper. Note that
43 // kBeta here is a cwnd multiplier, and is equal to 1-beta from the CUBIC paper. 44 // kBeta here is a cwnd multiplier, and is equal to 1-beta from the CUBIC paper.
44 // We derive the equivalent kNConnectionAlpha for an N-connection emulation as: 45 // We derive the equivalent kNConnectionAlpha for an N-connection emulation as:
45 const float kNConnectionAlpha = 3 * kNumConnections * kNumConnections * 46 const float kNConnectionAlpha = 3 * kNumConnections * kNumConnections *
46 (1 - kNConnectionBeta) / (1 + kNConnectionBeta); 47 (1 - kNConnectionBeta) / (1 + kNConnectionBeta);
47 // TODO(jri): Compute kNConnectionBeta and kNConnectionAlpha from 48 // TODO(jri): Compute kNConnectionBeta and kNConnectionAlpha from
48 // number of active streams. 49 // number of active streams.
50
49 } // namespace 51 } // namespace
50 52
51 Cubic::Cubic(const QuicClock* clock) 53 Cubic::Cubic(const QuicClock* clock, QuicConnectionStats* stats)
52 : clock_(clock), 54 : clock_(clock),
53 epoch_(QuicTime::Zero()), 55 epoch_(QuicTime::Zero()),
54 last_update_time_(QuicTime::Zero()) { 56 last_update_time_(QuicTime::Zero()),
57 stats_(stats) {
55 Reset(); 58 Reset();
56 } 59 }
57 60
58 void Cubic::Reset() { 61 void Cubic::Reset() {
59 epoch_ = QuicTime::Zero(); // Reset time. 62 epoch_ = QuicTime::Zero(); // Reset time.
60 last_update_time_ = QuicTime::Zero(); // Reset time. 63 last_update_time_ = QuicTime::Zero(); // Reset time.
61 last_congestion_window_ = 0; 64 last_congestion_window_ = 0;
62 last_max_congestion_window_ = 0; 65 last_max_congestion_window_ = 0;
63 acked_packets_count_ = 0; 66 acked_packets_count_ = 0;
64 estimated_tcp_congestion_window_ = 0; 67 estimated_tcp_congestion_window_ = 0;
65 origin_point_congestion_window_ = 0; 68 origin_point_congestion_window_ = 0;
66 time_to_origin_point_ = 0; 69 time_to_origin_point_ = 0;
67 last_target_congestion_window_ = 0; 70 last_target_congestion_window_ = 0;
68 } 71 }
69 72
73 void Cubic::UpdateCongestionControlStats(
74 QuicTcpCongestionWindow new_cubic_mode_cwnd,
75 QuicTcpCongestionWindow new_reno_mode_cwnd) {
76 if (last_congestion_window_ < new_cubic_mode_cwnd) {
77 // Congestion window will increase in cubic mode.
78 stats_->cwnd_increase_cubic_mode += new_cubic_mode_cwnd -
79 last_congestion_window_;
80 if (new_cubic_mode_cwnd <= new_reno_mode_cwnd) {
81 // Congestion window increase in reno mode is higher or equal to cubic
82 // mode's increase.
83 stats_->cwnd_increase_reno_mode += new_reno_mode_cwnd -
84 last_congestion_window_;
85 }
86 } else if (last_congestion_window_ < new_reno_mode_cwnd) {
87 // No cwnd increase in cubic mode, but cwnd will increase in reno mode.
88 stats_->cwnd_increase_reno_mode += new_reno_mode_cwnd -
89 last_congestion_window_;
90 }
91 }
92
70 QuicTcpCongestionWindow Cubic::CongestionWindowAfterPacketLoss( 93 QuicTcpCongestionWindow Cubic::CongestionWindowAfterPacketLoss(
71 QuicTcpCongestionWindow current_congestion_window) { 94 QuicTcpCongestionWindow current_congestion_window) {
72 if (current_congestion_window < last_max_congestion_window_) { 95 if (current_congestion_window < last_max_congestion_window_) {
73 // We never reached the old max, so assume we are competing with another 96 // We never reached the old max, so assume we are competing with another
74 // flow. Use our extra back off factor to allow the other flow to go up. 97 // flow. Use our extra back off factor to allow the other flow to go up.
75 last_max_congestion_window_ = 98 last_max_congestion_window_ =
76 static_cast<int>(kBetaLastMax * current_congestion_window); 99 static_cast<int>(kBetaLastMax * current_congestion_window);
77 } else { 100 } else {
78 last_max_congestion_window_ = current_congestion_window; 101 last_max_congestion_window_ = current_congestion_window;
79 } 102 }
(...skipping 40 matching lines...) Expand 10 before | Expand all | Expand 10 after
120 (current_time.Add(delay_min).Subtract(epoch_).ToMicroseconds() << 10) / 143 (current_time.Add(delay_min).Subtract(epoch_).ToMicroseconds() << 10) /
121 base::Time::kMicrosecondsPerSecond; 144 base::Time::kMicrosecondsPerSecond;
122 145
123 int64 offset = time_to_origin_point_ - elapsed_time; 146 int64 offset = time_to_origin_point_ - elapsed_time;
124 QuicTcpCongestionWindow delta_congestion_window = (kCubeCongestionWindowScale 147 QuicTcpCongestionWindow delta_congestion_window = (kCubeCongestionWindowScale
125 * offset * offset * offset) >> kCubeScale; 148 * offset * offset * offset) >> kCubeScale;
126 149
127 QuicTcpCongestionWindow target_congestion_window = 150 QuicTcpCongestionWindow target_congestion_window =
128 origin_point_congestion_window_ - delta_congestion_window; 151 origin_point_congestion_window_ - delta_congestion_window;
129 152
130 // We have a new cubic congestion window.
131 last_target_congestion_window_ = target_congestion_window;
132
133 DCHECK_LT(0u, estimated_tcp_congestion_window_); 153 DCHECK_LT(0u, estimated_tcp_congestion_window_);
134 // With dynamic beta/alpha based on number of active streams, it is possible 154 // With dynamic beta/alpha based on number of active streams, it is possible
135 // for the required_ack_count to become much lower than acked_packets_count_ 155 // for the required_ack_count to become much lower than acked_packets_count_
136 // suddenly, leading to more than one iteration through the following loop. 156 // suddenly, leading to more than one iteration through the following loop.
137 while (true) { 157 while (true) {
138 // Update estimated TCP congestion_window. 158 // Update estimated TCP congestion_window.
139 uint32 required_ack_count = 159 uint32 required_ack_count =
140 estimated_tcp_congestion_window_ / kNConnectionAlpha; 160 estimated_tcp_congestion_window_ / kNConnectionAlpha;
141 if (acked_packets_count_ < required_ack_count) { 161 if (acked_packets_count_ < required_ack_count) {
142 break; 162 break;
143 } 163 }
144 acked_packets_count_ -= required_ack_count; 164 acked_packets_count_ -= required_ack_count;
145 estimated_tcp_congestion_window_++; 165 estimated_tcp_congestion_window_++;
146 } 166 }
147 167
168 // Update cubic mode and reno mode stats in QuicConnectionStats.
169 UpdateCongestionControlStats(target_congestion_window,
170 estimated_tcp_congestion_window_);
171
172 // We have a new cubic congestion window.
173 last_target_congestion_window_ = target_congestion_window;
174
148 // Compute target congestion_window based on cubic target and estimated TCP 175 // Compute target congestion_window based on cubic target and estimated TCP
149 // congestion_window, use highest (fastest). 176 // congestion_window, use highest (fastest).
150 if (target_congestion_window < estimated_tcp_congestion_window_) { 177 if (target_congestion_window < estimated_tcp_congestion_window_) {
151 target_congestion_window = estimated_tcp_congestion_window_; 178 target_congestion_window = estimated_tcp_congestion_window_;
152 } 179 }
153 DVLOG(1) << "Target congestion_window:" << target_congestion_window; 180
181 DVLOG(1) << "Target congestion_window: " << target_congestion_window;
154 return target_congestion_window; 182 return target_congestion_window;
155 } 183 }
156 184
157 } // namespace net 185 } // namespace net
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