chunks: AIMD congestion control

refs #3636

Change-Id: Ia5e601201219048eb5c745bba9627e4916dac31a
This commit is contained in:
Weiwei Liu committed 2016-11-01 21:26:01 -07:00
1 parent 2547a5288d
commit 245d791ef7
11 files changed
+1678 -12

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/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
/**
* Copyright (c) 2016, Regents of the University of California,
* Colorado State University,
* University Pierre & Marie Curie, Sorbonne University.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Weiwei Liu
*/
#include "tools/chunks/catchunks/aimd-rtt-estimator.hpp"
#include "tests/test-common.hpp"
namespace ndn {
namespace chunks {
namespace aimd {
namespace tests {
class RttEstimatorFixture
{
protected:
RttEstimatorFixture()
: options(makeRttEstimatorOptions())
, rttEstimator(options)
{
}
private:
static RttEstimator::Options
makeRttEstimatorOptions()
{
RttEstimator::Options rttOptions;
rttOptions.alpha = 0.125;
rttOptions.beta = 0.25;
rttOptions.k = 4;
rttOptions.minRto = Milliseconds(200.0);
rttOptions.maxRto = Milliseconds(4000.0);
return rttOptions;
}
protected:
RttEstimator::Options options;
RttEstimator rttEstimator;
};
BOOST_AUTO_TEST_SUITE(Chunks)
BOOST_FIXTURE_TEST_SUITE(TestAimdRttEstimator, RttEstimatorFixture)
BOOST_AUTO_TEST_CASE(MeasureRtt)
{
BOOST_REQUIRE(std::isnan(rttEstimator.m_sRtt.count()));
BOOST_REQUIRE(std::isnan(rttEstimator.m_rttVar.count()));
BOOST_REQUIRE_CLOSE(rttEstimator.m_rto.count(), options.initialRto.count(), 1);
// first measurement
rttEstimator.addMeasurement(1, Milliseconds(100), 1);
BOOST_CHECK_CLOSE(rttEstimator.m_sRtt.count(), 100, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rttVar.count(), 50, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 300, 1);
rttEstimator.m_sRtt = Milliseconds(500.0);
rttEstimator.m_rttVar = Milliseconds(100.0);
rttEstimator.m_rto = Milliseconds(900.0);
size_t nExpectedSamples = 1;
rttEstimator.addMeasurement(1, Milliseconds(100), nExpectedSamples);
BOOST_CHECK_CLOSE(rttEstimator.m_sRtt.count(), 450, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rttVar.count(), 175, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 1150, 0.1);
// expected Samples larger than 1
nExpectedSamples = 5;
rttEstimator.addMeasurement(1, Milliseconds(100), nExpectedSamples);
BOOST_CHECK_CLOSE(rttEstimator.m_sRtt.count(), 441.25, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rttVar.count(), 183.75, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 1176.25, 0.1);
rttEstimator.m_sRtt = Milliseconds(100.0);
rttEstimator.m_rttVar = Milliseconds(30.0);
rttEstimator.m_rto = Milliseconds(220.0);
// check if minRto works
nExpectedSamples = 1;
rttEstimator.addMeasurement(1, Milliseconds(100), nExpectedSamples);
BOOST_CHECK_CLOSE(rttEstimator.m_sRtt.count(), 100, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rttVar.count(), 22.5, 1);
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 200, 1);
rttEstimator.m_sRtt = Milliseconds(2000.0);
rttEstimator.m_rttVar = Milliseconds(400.0);
rttEstimator.m_rto = Milliseconds(3600.0);
// check if maxRto works
nExpectedSamples = 1;
rttEstimator.addMeasurement(1, Milliseconds(100), nExpectedSamples);
BOOST_CHECK_CLOSE(rttEstimator.m_sRtt.count(), 1762.5, 0.1);
BOOST_CHECK_CLOSE(rttEstimator.m_rttVar.count(), 775, 0.1);
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 4000, 0.1);
}
BOOST_AUTO_TEST_CASE(RtoBackoff)
{
rttEstimator.m_rto = Milliseconds(500.0);
rttEstimator.backoffRto();
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 1000, 0.1);
// check if minRto works
rttEstimator.m_rto = Milliseconds(10.0);
rttEstimator.backoffRto();
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 200, 0.1);
// check if maxRto works
rttEstimator.m_rto = Milliseconds(3000.0);
rttEstimator.backoffRto();
BOOST_CHECK_CLOSE(rttEstimator.m_rto.count(), 4000, 0.1);
}
BOOST_AUTO_TEST_SUITE_END() // TestAimdRttEstimator
BOOST_AUTO_TEST_SUITE_END() // Chunks
} // namespace tests
} // namespace aimd
} // namespace chunks
} // namespace ndn
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/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
/**
* Copyright (c) 2016, Regents of the University of California,
* Colorado State University,
* University Pierre & Marie Curie, Sorbonne University.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Weiwei Liu
*/
#include "tools/chunks/catchunks/pipeline-interests-aimd.hpp"
#include "tools/chunks/catchunks/options.hpp"
#include "pipeline-interests-fixture.hpp"
namespace ndn {
namespace chunks {
namespace aimd {
namespace tests {
using namespace ndn::tests;
class PipelineInterestAimdFixture : public ndn::chunks::tests::PipelineInterestsFixture
{
public:
PipelineInterestAimdFixture()
: PipelineInterestsFixture()
, opt(makePipelineOptions())
, rttEstimator(makeRttEstimatorOptions())
{
auto pline = make_unique<PipelineInterestsAimd>(face, rttEstimator, opt);
aimdPipeline = pline.get();
setPipeline(std::move(pline));
}
private:
static PipelineInterestsAimdOptions
makePipelineOptions()
{
PipelineInterestsAimdOptions pipelineOptions;
pipelineOptions.disableCwa = false;
pipelineOptions.resetCwndToInit = false;
pipelineOptions.initCwnd = 1.0;
pipelineOptions.aiStep = 1.0;
pipelineOptions.mdCoef = 0.5;
pipelineOptions.initSsthresh = std::numeric_limits<int>::max();
return pipelineOptions;
}
static RttEstimator::Options
makeRttEstimatorOptions()
{
RttEstimator::Options rttOptions;
rttOptions.alpha = 0.125;
rttOptions.beta = 0.25;
rttOptions.k = 4;
rttOptions.minRto = Milliseconds(200);
rttOptions.maxRto = Milliseconds(4000);
return rttOptions;
}
protected:
PipelineInterestsAimdOptions opt;
RttEstimator rttEstimator;
PipelineInterestsAimd* aimdPipeline;
};
BOOST_AUTO_TEST_SUITE(Chunks)
BOOST_FIXTURE_TEST_SUITE(TestPipelineInterestsAimd, PipelineInterestAimdFixture)
BOOST_AUTO_TEST_CASE(SlowStart)
{
nDataSegments = 4;
aimdPipeline->m_ssthresh = 8.0;
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd, 1, 0.1);
double preCwnd = aimdPipeline->m_cwnd;
runWithData(*makeDataWithSegment(0));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 1);
for (uint64_t i = 1; i < nDataSegments - 1; ++i) {
face.receive(*makeDataWithSegment(i));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd - preCwnd, 1, 0.1);
preCwnd = aimdPipeline->m_cwnd;
}
}
BOOST_AUTO_TEST_CASE(CongestionAvoidance)
{
nDataSegments = 8;
aimdPipeline->m_ssthresh = 4.0;
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd, 1, 0.1);
double preCwnd = aimdPipeline->m_cwnd;
runWithData(*makeDataWithSegment(0));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 1);
for (uint64_t i = 1; i < aimdPipeline->m_ssthresh; ++i) { // slow start
face.receive(*makeDataWithSegment(i));
advanceClocks(io, time::nanoseconds(1));
preCwnd = aimdPipeline->m_cwnd;
}
BOOST_REQUIRE_CLOSE(preCwnd, aimdPipeline->m_ssthresh, 0.1);
for (uint64_t i = aimdPipeline->m_ssthresh; i < nDataSegments - 1; ++i) { // congestion avoidance
face.receive(*makeDataWithSegment(i));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd - preCwnd, opt.aiStep / floor(aimdPipeline->m_cwnd), 0.1);
preCwnd = aimdPipeline->m_cwnd;
}
}
BOOST_AUTO_TEST_CASE(Timeout)
{
nDataSegments = 8;
aimdPipeline->m_ssthresh = 4.0;
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd, 1, 0.1);
runWithData(*makeDataWithSegment(0));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 1);
// receive segment 1 and segment 2
for (uint64_t i = 1; i < 3; ++i) {
face.receive(*makeDataWithSegment(i));
advanceClocks(io, time::nanoseconds(1));
}
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd, 3, 0.1);
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 5); // request for segment 5 has been sent
advanceClocks(io, time::milliseconds(100));
// receive segment 4
face.receive(*makeDataWithSegment(4));
advanceClocks(io, time::nanoseconds(1));
// receive segment 5
face.receive(*makeDataWithSegment(5));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd, 4.25, 0.1);
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 7); // all the segment requests have been sent
// timeout segment 3
advanceClocks(io, time::milliseconds(150));
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd, 2.125, 0.1); // window size drop to 1/2 of previous size
BOOST_CHECK_EQUAL(aimdPipeline->m_retxQueue.size(), 1);
// receive segment 6, retransmit 3
face.receive(*makeDataWithSegment(6));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_CLOSE(aimdPipeline->m_cwnd, 2.625, 0.1); // congestion avoidance
BOOST_CHECK_EQUAL(aimdPipeline->m_retxQueue.size(), 0);
BOOST_CHECK_EQUAL(aimdPipeline->m_retxCount[3], 1);
}
BOOST_AUTO_TEST_CASE(Nack)
{
nDataSegments = 5;
aimdPipeline->m_cwnd = 10.0;
runWithData(*makeDataWithSegment(0));
advanceClocks(io, time::nanoseconds(1));
face.receive(*makeDataWithSegment(1));
advanceClocks(io, time::nanoseconds(1));
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 4);
// receive a nack with NackReason::DUPLICATE for segment 2
auto nack1 = makeNack(face.sentInterests[1], lp::NackReason::DUPLICATE);
face.receive(nack1);
advanceClocks(io, time::nanoseconds(1));
// nack1 is ignored
BOOST_CHECK_EQUAL(hasFailed, false);
BOOST_CHECK_EQUAL(aimdPipeline->m_retxQueue.size(), 0);
// receive a nack with NackReason::CONGESTION for segment 3
auto nack2 = makeNack(face.sentInterests[2], lp::NackReason::CONGESTION);
face.receive(nack2);
advanceClocks(io, time::nanoseconds(1));
// segment 3 is retransmitted
BOOST_CHECK_EQUAL(aimdPipeline->m_retxCount[3], 1);
// receive a nack with NackReason::NONE for segment 4
auto nack3 = makeNack(face.sentInterests[3], lp::NackReason::NONE);
face.receive(nack3);
advanceClocks(io, time::nanoseconds(1));
// Other types of Nack will trigger a failure
BOOST_CHECK_EQUAL(hasFailed, true);
}
BOOST_AUTO_TEST_CASE(FinalBlockIdNotSetAtBeginning)
{
nDataSegments = 4;
aimdPipeline->m_cwnd = 4;
runWithData(*makeDataWithSegment(0, false));
advanceClocks(io, time::nanoseconds(1));
// receive segment 1 without FinalBlockId
face.receive(*makeDataWithSegment(1, false));
advanceClocks(io, time::nanoseconds(1));
// interests for segment 1 - 6 have been sent
BOOST_CHECK_EQUAL(face.sentInterests.size(), 6);
BOOST_CHECK_EQUAL(aimdPipeline->m_hasFinalBlockId, false);
// pending interests: segment 2, 3, 4, 5, 6
BOOST_CHECK_EQUAL(face.getNPendingInterests(), 5);
// receive segment 2 with FinalBlockId
face.receive(*makeDataWithSegment(2));
advanceClocks(io, time::nanoseconds(1));
BOOST_CHECK_EQUAL(aimdPipeline->m_hasFinalBlockId, true);
// pending interests for segment 2, 4, 5, 6 haven been removed
BOOST_CHECK_EQUAL(face.getNPendingInterests(), 1);
}
BOOST_AUTO_TEST_CASE(FailureBeforeFinalBlockIdReceived)
{
// failed to retrieve segNo while the FinalBlockId has not yet been
// set, and later received a FinalBlockId >= segNo, i.e. segNo is
// part of the content.
nDataSegments = 4;
aimdPipeline->m_cwnd = 4;
runWithData(*makeDataWithSegment(0, false));
advanceClocks(io, time::nanoseconds(1));
// receive segment 1 without FinalBlockId
face.receive(*makeDataWithSegment(1, false));
advanceClocks(io, time::nanoseconds(1));
// interests for segment 1 - 6 have been sent
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 6);
// receive nack with NackReason::NONE for segment 3
auto nack = makeNack(face.sentInterests[2], lp::NackReason::NONE);
face.receive(nack);
advanceClocks(io, time::nanoseconds(1));
// error not triggered
// pending interests for segment > 3 haven been removed
BOOST_CHECK_EQUAL(hasFailed, false);
BOOST_CHECK_EQUAL(face.getNPendingInterests(), 1);
// receive segment 2 with FinalBlockId
face.receive(*makeDataWithSegment(2));
advanceClocks(io, time::nanoseconds(1));
// error triggered since segment 3 is part of the content
BOOST_CHECK_EQUAL(hasFailed, true);
}
BOOST_AUTO_TEST_CASE(SpuriousFailureBeforeFinalBlockIdReceived)
{
// failed to retrieve segNo while the FinalBlockId has not yet been
// set, and later received a FinalBlockId < segNo, i.e. segNo is
// not part of the content, and it was actually a spurious failure
nDataSegments = 4;
aimdPipeline->m_cwnd = 4;
runWithData(*makeDataWithSegment(0, false));
advanceClocks(io, time::nanoseconds(1));
// receive segment 1 without FinalBlockId
face.receive(*makeDataWithSegment(1, false));
advanceClocks(io, time::nanoseconds(1));
// interests for segment 1 - 6 have been sent
BOOST_REQUIRE_EQUAL(face.sentInterests.size(), 6);
// receive nack with NackReason::NONE for segment 4
auto nack= makeNack(face.sentInterests[3], lp::NackReason::NONE);
face.receive(nack);
advanceClocks(io, time::nanoseconds(1));
// error not triggered
// pending interests for segment > 4 haven been removed
BOOST_CHECK_EQUAL(hasFailed, false);
BOOST_CHECK_EQUAL(face.getNPendingInterests(), 2);
// receive segment 2 with FinalBlockId
face.receive(*makeDataWithSegment(2));
advanceClocks(io, time::nanoseconds(1));
// timeout segment 3
advanceClocks(io, time::milliseconds(250));
// segment 3 is retransmitted
BOOST_CHECK_EQUAL(aimdPipeline->m_retxCount[3], 1);
// receive segment 3
face.receive(*makeDataWithSegment(3));
advanceClocks(io, time::nanoseconds(1));
BOOST_CHECK_EQUAL(hasFailed, false);
}
BOOST_AUTO_TEST_SUITE_END() // TestPipelineInterestsAimd
BOOST_AUTO_TEST_SUITE_END() // Chunks
} // namespace tests
} // namespace aimd
} // namespace chunks
} // namespace ndn
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@@ -11,13 +11,13 @@
discovering the latest version of the file, and writes the content of the retrieved file to
the standard output.
## Version discovery methods
## Version discovery methods in ndncatchunks
* `fixed` : ndncatchunks will send an interest attempting to find a data packet with the
* `fixed` : sends an interest attempting to find a data packet with the
specified prefix and version number. A version component must be present at the
end of the user-specified NDN name.
* `iterative`: ndncatchunks will send a series of interests with ChildSelector set to prefer the
* `iterative`: sends a series of interests with ChildSelector set to prefer the
rightmost child and Exclude selectors, attempting to find a data packet with the
specified prefix and the latest (the largest in the NDN canonical ordering)
version number. The version is declared "latest" after a predefined number of
@@ -25,6 +25,19 @@
The default discovery method is `iterative`.
## Interest pipeline types in ndncatchunks
* `fixed`: maintains a fixed-size window of Interests in flight; the window size is configurable
via a command line option and defaults to 1.
* `aimd` : sends Interests using an additive-increase/multiplicative-decrease (AIMD) algorithm to
control the window size. By default, a Conservative Loss Adaptation algorithm is adopted
combining with the AIMD algorithm, that is, at most one window decrease will be
performed per round-trip-time. For details please refer to:
[A Practical Congestion Control Scheme for Named Data
Networking](https://www.researchgate.net/publication/306259672_A_Practical_Congestion_Control_Scheme_for_Named_Data_Networking)
The default Interest pipeline type is `fixed`.
## Usage examples
@@ -0,0 +1,87 @@
/**
* Copyright (c) 2016, Arizona Board of Regents.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Shuo Yang
* @author Weiwei Liu
*/
#include "aimd-rtt-estimator.hpp"
#include <cmath>
namespace ndn {
namespace chunks {
namespace aimd {
RttEstimator::RttEstimator(const Options& options)
: m_options(options)
, m_sRtt(std::numeric_limits<double>::quiet_NaN())
, m_rttVar(std::numeric_limits<double>::quiet_NaN())
, m_rto(m_options.initialRto.count())
{
if (m_options.isVerbose) {
std::cerr << m_options;
}
}
void
RttEstimator::addMeasurement(uint64_t segNo, Milliseconds rtt, size_t nExpectedSamples)
{
BOOST_ASSERT(nExpectedSamples > 0);
if (std::isnan(m_sRtt.count())) { // first measurement
m_sRtt = rtt;
m_rttVar = m_sRtt / 2;
m_rto = m_sRtt + m_options.k * m_rttVar;
}
else {
double alpha = m_options.alpha / nExpectedSamples;
double beta = m_options.beta / nExpectedSamples;
m_rttVar = (1 - beta) * m_rttVar + beta * time::abs(m_sRtt - rtt);
m_sRtt = (1 - alpha) * m_sRtt + alpha * rtt;
m_rto = m_sRtt + m_options.k * m_rttVar;
}
m_rto = ndn::clamp(m_rto, m_options.minRto, m_options.maxRto);
afterRttMeasurement({segNo, rtt, m_sRtt, m_rttVar, m_rto});
}
void
RttEstimator::backoffRto()
{
m_rto = ndn::clamp(m_rto * m_options.rtoBackoffMultiplier,
m_options.minRto, m_options.maxRto);
}
std::ostream&
operator<<(std::ostream& os, const RttEstimator::Options& options)
{
os << "RttEstimator initial parameters:\n"
<< "\tAlpha = " << options.alpha << "\n"
<< "\tBeta = " << options.beta << "\n"
<< "\tK = " << options.k << "\n"
<< "\tInitial RTO = " << options.initialRto << "\n"
<< "\tMin RTO = " << options.minRto << "\n"
<< "\tMax RTO = " << options.maxRto << "\n";
return os;
}
} // namespace aimd
} // namespace chunks
} // namespace ndn
@@ -0,0 +1,141 @@
/**
* Copyright (c) 2016, Arizona Board of Regents.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Shuo Yang
* @author Weiwei Liu
*/
#ifndef NDN_TOOLS_CHUNKS_CATCHUNKS_AIMD_RTT_ESTIMATOR_HPP
#define NDN_TOOLS_CHUNKS_CATCHUNKS_AIMD_RTT_ESTIMATOR_HPP
#include "core/common.hpp"
namespace ndn {
namespace chunks {
namespace aimd {
typedef time::duration<double, time::milliseconds::period> Milliseconds;
struct RttRtoSample
{
uint64_t segNo;
Milliseconds rtt; ///< measured RTT
Milliseconds sRtt; ///< smoothed RTT
Milliseconds rttVar; ///< RTT variation
Milliseconds rto; ///< retransmission timeout
};
/**
* @brief RTT Estimator.
*
* This class implements the "Mean--Deviation" RTT estimator, as discussed in RFC6298,
* with the modifications to RTO calculation described in RFC 7323 Appendix G.
*/
class RttEstimator
{
public:
class Options
{
public:
Options()
: isVerbose(false)
, alpha(0.125)
, beta(0.25)
, k(4)
, initialRto(1000.0)
, minRto(200.0)
, maxRto(20000.0)
, rtoBackoffMultiplier(2)
{
}
public:
bool isVerbose;
double alpha; ///< parameter for RTT estimation
double beta; ///< parameter for RTT variation calculation
int k; ///< factor of RTT variation when calculating RTO
Milliseconds initialRto; ///< initial RTO value
Milliseconds minRto; ///< lower bound of RTO
Milliseconds maxRto; ///< upper bound of RTO
int rtoBackoffMultiplier;
};
/**
* @brief create a RTT Estimator
*
* Configures the RTT Estimator with the default parameters if an instance of Options
* is not passed to the constructor.
*/
explicit
RttEstimator(const Options& options = Options());
/**
* @brief Add a new RTT measurement to the estimator for the given received segment.
*
* @note Don't take RTT measurement for retransmitted segments
* @param segNo the segment number of the received segmented Data
* @param rtt the sampled rtt
* @param nExpectedSamples number of expected samples, must be greater than 0.
* It should be set to current number of in-flight Interests. Please
* refer to Appendix G of RFC 7323 for details.
*/
void
addMeasurement(uint64_t segNo, Milliseconds rtt, size_t nExpectedSamples);
/**
* @return estimated RTO
*/
Milliseconds
getEstimatedRto() const;
/**
* @brief backoff RTO by the factor of RttEstimatorOptions::rtoBackoffMultiplier
*/
void
backoffRto();
/**
* @brief Signals after rtt is measured
*/
signal::Signal<RttEstimator, RttRtoSample> afterRttMeasurement;
PUBLIC_WITH_TESTS_ELSE_PRIVATE:
const Options m_options;
Milliseconds m_sRtt; ///< smoothed round-trip time
Milliseconds m_rttVar; ///< round-trip time variation
Milliseconds m_rto; ///< retransmission timeout
};
/**
* @brief returns the estimated RTO value
*/
inline Milliseconds
RttEstimator::getEstimatedRto() const
{
return m_rto;
}
std::ostream&
operator<<(std::ostream& os, const RttEstimator::Options& options);
} // namespace aimd
} // namespace chunks
} // namespace ndn
#endif // NDN_TOOLS_CHUNKS_CATCHUNKS_RTT_ESTIMATOR_HPP
@@ -0,0 +1,54 @@
/**
* Copyright (c) 2016, Regents of the University of California,
* Colorado State University,
* University Pierre & Marie Curie, Sorbonne University.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Weiwei Liu
*/
#include "aimd-statistics-collector.hpp"
namespace ndn {
namespace chunks {
namespace aimd {
StatisticsCollector::StatisticsCollector(PipelineInterestsAimd& pipeline, RttEstimator& rttEstimator,
std::ostream& osCwnd, std::ostream& osRtt)
: m_osCwnd(osCwnd)
, m_osRtt(osRtt)
{
m_osCwnd << "time\tcwndsize\n";
m_osRtt << "segment\trtt\trttvar\tsrtt\trto\n";
pipeline.afterCwndChange.connect(
[this] (Milliseconds timeElapsed, double cwnd) {
m_osCwnd << timeElapsed.count() / 1000 << '\t' << cwnd << '\n';
});
rttEstimator.afterRttMeasurement.connect(
[this] (const RttRtoSample& rttSample) {
m_osRtt << rttSample.segNo << '\t'
<< rttSample.rtt.count() << '\t'
<< rttSample.rttVar.count() << '\t'
<< rttSample.sRtt.count() << '\t'
<< rttSample.rto.count() << '\n';
});
}
} // namespace aimd
} // namespace chunks
} // namespace ndn
@@ -0,0 +1,53 @@
/**
* Copyright (c) 2016, Regents of the University of California,
* Colorado State University,
* University Pierre & Marie Curie, Sorbonne University.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Weiwei Liu
*/
#ifndef NDN_TOOLS_CHUNKS_CATCHUNKS_AIMD_STATISTICS_COLLECTOR_HPP
#define NDN_TOOLS_CHUNKS_CATCHUNKS_AIMD_STATISTICS_COLLECTOR_HPP
#include "pipeline-interests-aimd.hpp"
#include "aimd-rtt-estimator.hpp"
namespace ndn {
namespace chunks {
namespace aimd {
/**
* @brief Statistics collector for AIMD pipeline
*/
class StatisticsCollector : noncopyable
{
public:
StatisticsCollector(PipelineInterestsAimd& pipeline, RttEstimator& rttEstimator,
std::ostream& osCwnd, std::ostream& osRtt);
private:
std::ostream& m_osCwnd;
std::ostream& m_osRtt;
};
} // namespace aimd
} // namespace chunks
} // namespace ndn
#endif // NDN_TOOLS_CHUNKS_CATCHUNKS_AIMD_STATISTICS_COLLECTOR_HPP
+114 -9
View File
@@ -33,8 +33,12 @@
#include "discover-version-fixed.hpp"
#include "discover-version-iterative.hpp"
#include "pipeline-interests-fixed-window.hpp"
#include "pipeline-interests-aimd.hpp"
#include "aimd-rtt-estimator.hpp"
#include "aimd-statistics-collector.hpp"
#include <ndn-cxx/security/validator-null.hpp>
#include <fstream>
namespace ndn {
namespace chunks {
@@ -50,34 +54,87 @@ main(int argc, char** argv)
int maxRetriesAfterVersionFound(1);
std::string uri;
// congestion control parameters, CWA refers to conservative window adaptation,
// i.e. only reduce window size at most once per RTT
bool disableCwa(false), resetCwndToInit(false);
double aiStep(1.0), mdCoef(0.5), alpha(0.125), beta(0.25),
minRto(200.0), maxRto(4000.0);
int initCwnd(1), initSsthresh(std::numeric_limits<int>::max()), k(4);
std::string cwndPath, rttPath;
namespace po = boost::program_options;
po::options_description visibleDesc("Options");
visibleDesc.add_options()
po::options_description basicDesc("Basic Options");
basicDesc.add_options()
("help,h", "print this help message and exit")
("discover-version,d", po::value<std::string>(&discoverType)->default_value(discoverType),
"version discovery algorithm to use; valid values are: 'fixed', 'iterative'")
("pipeline-type,t", po::value<std::string>(&pipelineType)->default_value(pipelineType),
"type of Interest pipeline to use; valid values are: 'fixed', 'aimd'")
("fresh,f", po::bool_switch(&options.mustBeFresh), "only return fresh content")
("lifetime,l", po::value<uint64_t>()->default_value(options.interestLifetime.count()),
"lifetime of expressed Interests, in milliseconds")
("pipeline,p", po::value<size_t>(&maxPipelineSize)->default_value(maxPipelineSize),
"maximum size of the Interest pipeline")
("retries,r", po::value<int>(&options.maxRetriesOnTimeoutOrNack)->default_value(options.maxRetriesOnTimeoutOrNack),
"maximum number of retries in case of Nack or timeout (-1 = no limit)")
("retries-iterative,i", po::value<int>(&maxRetriesAfterVersionFound)->default_value(maxRetriesAfterVersionFound),
"number of timeouts that have to occur in order to confirm a discovered Data "
"version as the latest one (only applicable to 'iterative' version discovery)")
("verbose,v", po::bool_switch(&options.isVerbose), "turn on verbose output")
("version,V", "print program version and exit")
;
po::options_description hiddenDesc("Hidden options");
po::options_description iterDiscoveryDesc("Iterative version discovery options");
iterDiscoveryDesc.add_options()
("retries-iterative,i", po::value<int>(&maxRetriesAfterVersionFound)->default_value(maxRetriesAfterVersionFound),
"number of timeouts that have to occur in order to confirm a discovered Data "
"version as the latest one")
;
po::options_description fixedPipeDesc("Fixed pipeline options");
fixedPipeDesc.add_options()
("pipeline-size,s", po::value<size_t>(&maxPipelineSize)->default_value(maxPipelineSize),
"size of the Interest pipeline")
;
po::options_description aimdPipeDesc("AIMD pipeline options");
aimdPipeDesc.add_options()
("aimd-debug-cwnd", po::value<std::string>(&cwndPath),
"log file for AIMD cwnd statistics")
("aimd-debug-rtt", po::value<std::string>(&rttPath),
"log file for AIMD rtt statistics")
("aimd-disable-cwa", po::bool_switch(&disableCwa),
"disable Conservative Window Adaptation, "
"i.e. reduce window on each timeout (instead of at most once per RTT)")
("aimd-reset-cwnd-to-init", po::bool_switch(&resetCwndToInit),
"reset cwnd to initial cwnd when loss event occurs, default is "
"resetting to ssthresh")
("aimd-initial-cwnd", po::value<int>(&initCwnd)->default_value(initCwnd),
"initial cwnd")
("aimd-initial-ssthresh", po::value<int>(&initSsthresh),
"initial slow start threshold (defaults to infinity)")
("aimd-aistep", po::value<double>(&aiStep)->default_value(aiStep),
"additive-increase step")
("aimd-mdcoef", po::value<double>(&mdCoef)->default_value(mdCoef),
"multiplicative-decrease coefficient")
("aimd-rto-alpha", po::value<double>(&alpha)->default_value(alpha),
"alpha value for rto calculation")
("aimd-rto-beta", po::value<double>(&beta)->default_value(beta),
"beta value for rto calculation")
("aimd-rto-k", po::value<int>(&k)->default_value(k),
"k value for rto calculation")
("aimd-rto-min", po::value<double>(&minRto)->default_value(minRto),
"min rto value in milliseconds")
("aimd-rto-max", po::value<double>(&maxRto)->default_value(maxRto),
"max rto value in milliseconds")
;
po::options_description visibleDesc;
visibleDesc.add(basicDesc).add(iterDiscoveryDesc).add(fixedPipeDesc).add(aimdPipeDesc);
po::options_description hiddenDesc;
hiddenDesc.add_options()
("ndn-name,n", po::value<std::string>(&uri), "NDN name of the requested content");
po::positional_options_description p;
p.add("ndn-name", -1);
po::options_description optDesc("Allowed options");
po::options_description optDesc;
optDesc.add(visibleDesc).add(hiddenDesc);
po::variables_map vm;
@@ -153,11 +210,59 @@ main(int argc, char** argv)
}
unique_ptr<PipelineInterests> pipeline;
unique_ptr<aimd::StatisticsCollector> statsCollector;
unique_ptr<aimd::RttEstimator> rttEstimator;
std::ofstream statsFileCwnd;
std::ofstream statsFileRtt;
if (pipelineType == "fixed") {
PipelineInterestsFixedWindow::Options optionsPipeline(options);
optionsPipeline.maxPipelineSize = maxPipelineSize;
pipeline = make_unique<PipelineInterestsFixedWindow>(face, optionsPipeline);
}
else if (pipelineType == "aimd") {
aimd::RttEstimator::Options optionsRttEst;
optionsRttEst.isVerbose = options.isVerbose;
optionsRttEst.alpha = alpha;
optionsRttEst.beta = beta;
optionsRttEst.k = k;
optionsRttEst.minRto = aimd::Milliseconds(minRto);
optionsRttEst.maxRto = aimd::Milliseconds(maxRto);
rttEstimator = make_unique<aimd::RttEstimator>(optionsRttEst);
PipelineInterestsAimd::Options optionsPipeline;
optionsPipeline.isVerbose = options.isVerbose;
optionsPipeline.disableCwa = disableCwa;
optionsPipeline.resetCwndToInit = resetCwndToInit;
optionsPipeline.initCwnd = static_cast<double>(initCwnd);
optionsPipeline.initSsthresh = static_cast<double>(initSsthresh);
optionsPipeline.aiStep = aiStep;
optionsPipeline.mdCoef = mdCoef;
auto aimdPipeline = make_unique<PipelineInterestsAimd>(face, *rttEstimator, optionsPipeline);
if (!cwndPath.empty() || !rttPath.empty()) {
if (!cwndPath.empty()) {
statsFileCwnd.open(cwndPath);
if (statsFileCwnd.fail()) {
std::cerr << "ERROR: failed to open " << cwndPath << std::endl;
return 4;
}
}
if (!rttPath.empty()) {
statsFileRtt.open(rttPath);
if (statsFileRtt.fail()) {
std::cerr << "ERROR: failed to open " << rttPath << std::endl;
return 4;
}
}
statsCollector = make_unique<aimd::StatisticsCollector>(*aimdPipeline, *rttEstimator,
statsFileCwnd, statsFileRtt);
}
pipeline = std::move(aimdPipeline);
}
else {
std::cerr << "ERROR: Interest pipeline type not valid" << std::endl;
return 2;
@@ -0,0 +1,509 @@
/**
* Copyright (c) 2016, Regents of the University of California,
* Colorado State University,
* University Pierre & Marie Curie, Sorbonne University.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Shuo Yang
* @author Weiwei Liu
*/
#include "pipeline-interests-aimd.hpp"
#include <cmath>
namespace ndn {
namespace chunks {
namespace aimd {
PipelineInterestsAimd::PipelineInterestsAimd(Face& face, RttEstimator& rttEstimator,
const Options& options)
: PipelineInterests(face)
, m_options(options)
, m_rttEstimator(rttEstimator)
, m_scheduler(m_face.getIoService())
, m_nextSegmentNo(0)
, m_receivedSize(0)
, m_highData(0)
, m_highInterest(0)
, m_recPoint(0)
, m_nInFlight(0)
, m_nReceived(0)
, m_nLossEvents(0)
, m_nRetransmitted(0)
, m_cwnd(m_options.initCwnd)
, m_ssthresh(m_options.initSsthresh)
, m_hasFailure(false)
, m_failedSegNo(0)
{
if (m_options.isVerbose) {
std::cerr << m_options;
}
}
PipelineInterestsAimd::~PipelineInterestsAimd()
{
cancel();
}
void
PipelineInterestsAimd::doRun()
{
// record the start time of running pipeline
m_startTime = time::steady_clock::now();
// count the excluded segment
m_nReceived++;
// schedule the event to check retransmission timer
m_scheduler.scheduleEvent(m_options.rtoCheckInterval, [this] { checkRto(); });
sendInterest(getNextSegmentNo(), false);
}
void
PipelineInterestsAimd::doCancel()
{
for (const auto& entry : m_segmentInfo) {
const SegmentInfo& segInfo = entry.second;
m_face.removePendingInterest(segInfo.interestId);
}
m_segmentInfo.clear();
m_scheduler.cancelAllEvents();
}
void
PipelineInterestsAimd::checkRto()
{
if (isStopping())
return;
int timeoutCount = 0;
for (auto& entry : m_segmentInfo) {
SegmentInfo& segInfo = entry.second;
if (segInfo.state != SegmentState::InRetxQueue && // do not check segments currently in the retx queue
segInfo.state != SegmentState::RetxReceived) { // or already-received retransmitted segments
Milliseconds timeElapsed = time::steady_clock::now() - segInfo.timeSent;
if (timeElapsed.count() > segInfo.rto.count()) { // timer expired?
uint64_t timedoutSeg = entry.first;
m_retxQueue.push(timedoutSeg); // put on retx queue
segInfo.state = SegmentState::InRetxQueue; // update status
timeoutCount++;
}
}
}
if (timeoutCount > 0) {
handleTimeout(timeoutCount);
}
// schedule the next check after predefined interval
m_scheduler.scheduleEvent(m_options.rtoCheckInterval, [this] { checkRto(); });
}
void
PipelineInterestsAimd::sendInterest(uint64_t segNo, bool isRetransmission)
{
if (isStopping())
return;
if (m_hasFinalBlockId && segNo > m_lastSegmentNo && !isRetransmission)
return;
if (!isRetransmission && m_hasFailure)
return;
if (m_options.isVerbose) {
if (isRetransmission)
std::cerr << "Retransmitting segment #" << segNo << std::endl;
else
std::cerr << "Requesting segment #" << segNo << std::endl;
}
if (isRetransmission) {
auto ret = m_retxCount.insert(std::make_pair(segNo, 1));
if (ret.second == false) { // not the first retransmission
m_retxCount[segNo] += 1;
if (m_retxCount[segNo] > m_options.maxRetriesOnTimeoutOrNack) {
return handleFail(segNo, "Reached the maximum number of retries (" +
to_string(m_options.maxRetriesOnTimeoutOrNack) +
") while retrieving segment #" + to_string(segNo));
}
if (m_options.isVerbose) {
std::cerr << "# of retries for segment #" << segNo
<< " is " << m_retxCount[segNo] << std::endl;
}
}
m_face.removePendingInterest(m_segmentInfo[segNo].interestId);
}
Interest interest(Name(m_prefix).appendSegment(segNo));
interest.setInterestLifetime(m_options.interestLifetime);
interest.setMustBeFresh(m_options.mustBeFresh);
interest.setMaxSuffixComponents(1);
auto interestId = m_face.expressInterest(interest,
bind(&PipelineInterestsAimd::handleData, this, _1, _2),
bind(&PipelineInterestsAimd::handleNack, this, _1, _2),
bind(&PipelineInterestsAimd::handleLifetimeExpiration,
this, _1));
m_nInFlight++;
if (isRetransmission) {
SegmentInfo& segInfo = m_segmentInfo[segNo];
segInfo.state = SegmentState::Retransmitted;
segInfo.rto = m_rttEstimator.getEstimatedRto();
segInfo.timeSent = time::steady_clock::now();
m_nRetransmitted++;
}
else {
m_highInterest = segNo;
Milliseconds rto = m_rttEstimator.getEstimatedRto();
SegmentInfo segInfo{interestId, SegmentState::FirstTimeSent, rto, time::steady_clock::now()};
m_segmentInfo.emplace(segNo, segInfo);
}
}
void
PipelineInterestsAimd::schedulePackets()
{
int availableWindowSize = static_cast<int>(m_cwnd) - m_nInFlight;
while (availableWindowSize > 0) {
if (!m_retxQueue.empty()) { // do retransmission first
uint64_t retxSegNo = m_retxQueue.front();
m_retxQueue.pop();
auto it = m_segmentInfo.find(retxSegNo);
if (it == m_segmentInfo.end()) {
continue;
}
// the segment is still in the map, it means that it needs to be retransmitted
sendInterest(retxSegNo, true);
}
else { // send next segment
sendInterest(getNextSegmentNo(), false);
}
availableWindowSize--;
}
}
void
PipelineInterestsAimd::handleData(const Interest& interest, const Data& data)
{
if (isStopping())
return;
// Data name will not have extra components because MaxSuffixComponents is set to 1
BOOST_ASSERT(data.getName().equals(interest.getName()));
if (!m_hasFinalBlockId && !data.getFinalBlockId().empty()) {
m_lastSegmentNo = data.getFinalBlockId().toSegment();
m_hasFinalBlockId = true;
cancelInFlightSegmentsGreaterThan(m_lastSegmentNo);
if (m_hasFailure && m_lastSegmentNo >= m_failedSegNo) {
// previously failed segment is part of the content
return onFailure(m_failureReason);
} else {
m_hasFailure = false;
}
}
uint64_t recvSegNo = data.getName()[-1].toSegment();
if (m_highData < recvSegNo) {
m_highData = recvSegNo;
}
SegmentInfo& segInfo = m_segmentInfo[recvSegNo];
if (segInfo.state == SegmentState::RetxReceived) {
m_segmentInfo.erase(recvSegNo);
return; // ignore already-received segment
}
Milliseconds rtt = time::steady_clock::now() - segInfo.timeSent;
if (m_options.isVerbose) {
std::cerr << "Received segment #" << recvSegNo
<< ", rtt=" << rtt.count() << "ms"
<< ", rto=" << segInfo.rto.count() << "ms" << std::endl;
}
// for segments in retransmission queue, no need to decrement m_nInFlight since
// it's already been decremented when segments timed out
if (segInfo.state != SegmentState::InRetxQueue && m_nInFlight > 0) {
m_nInFlight--;
}
m_receivedSize += data.getContent().value_size();
m_nReceived++;
increaseWindow();
onData(interest, data);
if (segInfo.state == SegmentState::FirstTimeSent ||
segInfo.state == SegmentState::InRetxQueue) { // do not sample RTT for retransmitted segments
size_t nExpectedSamples = std::max(static_cast<int>(std::ceil(m_nInFlight / 2.0)), 1);
m_rttEstimator.addMeasurement(recvSegNo, rtt, nExpectedSamples);
m_segmentInfo.erase(recvSegNo); // remove the entry associated with the received segment
}
else { // retransmission
segInfo.state = SegmentState::RetxReceived;
}
BOOST_ASSERT(m_nReceived > 0);
if (m_hasFinalBlockId && m_nReceived - 1 >= m_lastSegmentNo) { // all segments have been received
cancel();
if (m_options.isVerbose) {
printSummary();
}
}
else {
schedulePackets();
}
}
void
PipelineInterestsAimd::handleNack(const Interest& interest, const lp::Nack& nack)
{
if (isStopping())
return;
if (m_options.isVerbose)
std::cerr << "Received Nack with reason " << nack.getReason()
<< " for Interest " << interest << std::endl;
uint64_t segNo = interest.getName()[-1].toSegment();
switch (nack.getReason()) {
case lp::NackReason::DUPLICATE: {
break; // ignore duplicates
}
case lp::NackReason::CONGESTION: { // treated the same as timeout for now
m_retxQueue.push(segNo); // put on retx queue
m_segmentInfo[segNo].state = SegmentState::InRetxQueue; // update state
handleTimeout(1);
break;
}
default: {
handleFail(segNo, "Could not retrieve data for " + interest.getName().toUri() +
", reason: " + boost::lexical_cast<std::string>(nack.getReason()));
break;
}
}
}
void
PipelineInterestsAimd::handleLifetimeExpiration(const Interest& interest)
{
if (isStopping())
return;
uint64_t segNo = interest.getName()[-1].toSegment();
m_retxQueue.push(segNo); // put on retx queue
m_segmentInfo[segNo].state = SegmentState::InRetxQueue; // update state
handleTimeout(1);
}
void
PipelineInterestsAimd::handleTimeout(int timeoutCount)
{
if (timeoutCount <= 0)
return;
if (m_options.disableCwa || m_highData > m_recPoint) {
// react to only one timeout per RTT (conservative window adaptation)
m_recPoint = m_highInterest;
decreaseWindow();
m_rttEstimator.backoffRto();
m_nLossEvents++;
if (m_options.isVerbose) {
std::cerr << "Packet loss event, cwnd = " << m_cwnd
<< ", ssthresh = " << m_ssthresh << std::endl;
}
}
if (m_nInFlight > static_cast<uint64_t>(timeoutCount))
m_nInFlight -= timeoutCount;
else
m_nInFlight = 0;
schedulePackets();
}
void
PipelineInterestsAimd::handleFail(uint64_t segNo, const std::string& reason)
{
if (isStopping())
return;
// if the failed segment is definitely part of the content, raise a fatal error
if (m_hasFinalBlockId && segNo <= m_lastSegmentNo)
return onFailure(reason);
if (!m_hasFinalBlockId) {
m_segmentInfo.erase(segNo);
if (m_nInFlight > 0)
m_nInFlight--;
if (m_segmentInfo.empty()) {
onFailure("Fetching terminated but no final segment number has been found");
}
else {
cancelInFlightSegmentsGreaterThan(segNo);
m_hasFailure = true;
m_failedSegNo = segNo;
m_failureReason = reason;
}
}
}
void
PipelineInterestsAimd::increaseWindow()
{
if (m_cwnd < m_ssthresh) {
m_cwnd += m_options.aiStep; // additive increase
} else {
m_cwnd += m_options.aiStep / std::floor(m_cwnd); // congestion avoidance
}
afterCwndChange(time::steady_clock::now() - m_startTime, m_cwnd);
}
void
PipelineInterestsAimd::decreaseWindow()
{
// please refer to RFC 5681, Section 3.1 for the rationale behind it
m_ssthresh = std::max(2.0, m_cwnd * m_options.mdCoef); // multiplicative decrease
m_cwnd = m_options.resetCwndToInit ? m_options.initCwnd : m_ssthresh;
afterCwndChange(time::steady_clock::now() - m_startTime, m_cwnd);
}
uint64_t
PipelineInterestsAimd::getNextSegmentNo()
{
// get around the excluded segment
if (m_nextSegmentNo == m_excludedSegmentNo)
m_nextSegmentNo++;
return m_nextSegmentNo++;
}
void
PipelineInterestsAimd::cancelInFlightSegmentsGreaterThan(uint64_t segmentNo)
{
for (auto it = m_segmentInfo.begin(); it != m_segmentInfo.end();) {
// cancel fetching all segments that follow
if (it->first > segmentNo) {
m_face.removePendingInterest(it->second.interestId);
it = m_segmentInfo.erase(it);
if (m_nInFlight > 0)
m_nInFlight--;
}
else {
++it;
}
}
}
void
PipelineInterestsAimd::printSummary() const
{
Milliseconds timePassed = time::steady_clock::now() - m_startTime;
double throughput = (8 * m_receivedSize * 1000) / timePassed.count();
int pow = 0;
std::string throughputUnit;
while (throughput >= 1000.0 && pow < 4) {
throughput /= 1000.0;
pow++;
}
switch (pow) {
case 0:
throughputUnit = "bit/s";
break;
case 1:
throughputUnit = "kbit/s";
break;
case 2:
throughputUnit = "Mbit/s";
break;
case 3:
throughputUnit = "Gbit/s";
break;
case 4:
throughputUnit = "Tbit/s";
break;
}
std::cerr << "\nAll segments have been received.\n"
<< "Total # of segments received: " << m_nReceived << "\n"
<< "Time used: " << timePassed.count() << " ms" << "\n"
<< "Total # of packet loss burst: " << m_nLossEvents << "\n"
<< "Packet loss rate: "
<< static_cast<double>(m_nLossEvents) / static_cast<double>(m_nReceived) << "\n"
<< "Total # of retransmitted segments: " << m_nRetransmitted << "\n"
<< "Goodput: " << throughput << " " << throughputUnit << "\n";
}
std::ostream&
operator<<(std::ostream& os, SegmentState state)
{
switch (state) {
case SegmentState::FirstTimeSent:
os << "FirstTimeSent";
break;
case SegmentState::InRetxQueue:
os << "InRetxQueue";
break;
case SegmentState::Retransmitted:
os << "Retransmitted";
break;
case SegmentState::RetxReceived:
os << "RetxReceived";
break;
}
return os;
}
std::ostream&
operator<<(std::ostream& os, const PipelineInterestsAimdOptions& options)
{
os << "PipelineInterestsAimd initial parameters:" << "\n"
<< "\tInitial congestion window size = " << options.initCwnd << "\n"
<< "\tInitial slow start threshold = " << options.initSsthresh << "\n"
<< "\tMultiplicative decrease factor = " << options.mdCoef << "\n"
<< "\tAdditive increase step = " << options.aiStep << "\n"
<< "\tRTO check interval = " << options.rtoCheckInterval << "\n"
<< "\tMax retries on timeout or Nack = " << options.maxRetriesOnTimeoutOrNack << "\n";
std::string cwaStatus = options.disableCwa ? "disabled" : "enabled";
os << "\tConservative Window Adaptation " << cwaStatus << "\n";
std::string cwndStatus = options.resetCwndToInit ? "initCwnd" : "ssthresh";
os << "\tResetting cwnd to " << cwndStatus << " when loss event occurs" << "\n";
return os;
}
} // namespace aimd
} // namespace chunks
} // namespace ndn
@@ -0,0 +1,230 @@
/**
* Copyright (c) 2016, Regents of the University of California,
* Colorado State University,
* University Pierre & Marie Curie, Sorbonne University.
*
* This file is part of ndn-tools (Named Data Networking Essential Tools).
* See AUTHORS.md for complete list of ndn-tools authors and contributors.
*
* ndn-tools is free software: you can redistribute it and/or modify it under the terms
* of the GNU General Public License as published by the Free Software Foundation,
* either version 3 of the License, or (at your option) any later version.
*
* ndn-tools is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
* without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
* PURPOSE. See the GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along with
* ndn-tools, e.g., in COPYING.md file. If not, see <http://www.gnu.org/licenses/>.
*
* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
*
* @author Shuo Yang
* @author Weiwei Liu
*/
#ifndef NDN_TOOLS_CHUNKS_CATCHUNKS_PIPELINE_INTERESTS_AIMD_HPP
#define NDN_TOOLS_CHUNKS_CATCHUNKS_PIPELINE_INTERESTS_AIMD_HPP
#include "options.hpp"
#include "aimd-rtt-estimator.hpp"
#include "pipeline-interests.hpp"
#include <queue>
namespace ndn {
namespace chunks {
namespace aimd {
struct PipelineInterestsAimdOptions : public Options
{
bool isVerbose = false;
double initCwnd = 1.0; ///< initial congestion window size
double initSsthresh = std::numeric_limits<double>::max(); ///< initial slow start threshold
double mdCoef = 0.5; ///< multiplicative decrease coefficient
double aiStep = 1.0; ///< additive increase step (unit: segment)
time::milliseconds rtoCheckInterval = time::milliseconds(10); ///< time interval for checking retransmission timer
bool disableCwa = false; ///< disable Conservative Window Adaptation
bool resetCwndToInit = false; ///< reduce cwnd to initCwnd when loss event occurs
};
/**
* @brief indicates the state of the segment
*/
enum class SegmentState {
FirstTimeSent, ///< segment has been sent for the first time
InRetxQueue, ///< segment is in retransmission queue
Retransmitted, ///< segment has been retransmitted
RetxReceived, ///< segment has been received after retransmission
};
std::ostream&
operator<<(std::ostream& os, SegmentState state);
/**
* @brief Wraps up information that's necessary for segment transmission
*/
struct SegmentInfo
{
const PendingInterestId* interestId; ///< The pending interest ID returned by
///< ndn::Face::expressInterest. It can be used with
///< removePendingInterest before retransmitting this Interest.
SegmentState state;
Milliseconds rto;
time::steady_clock::TimePoint timeSent;
};
/**
* @brief Service for retrieving Data via an Interest pipeline
*
* Retrieves all segmented Data under the specified prefix by maintaining a dynamic AIMD
* congestion window combined with a Conservative Loss Adaptation algorithm. For details,
* please refer to the description in section "Interest pipeline types in ndncatchunks" of
* tools/chunks/README.md
*
* Provides retrieved Data on arrival with no ordering guarantees. Data is delivered to the
* PipelineInterests' user via callback immediately upon arrival.
*/
class PipelineInterestsAimd : public PipelineInterests
{
public:
typedef PipelineInterestsAimdOptions Options;
public:
/**
* @brief create a PipelineInterestsAimd service
*
* Configures the pipelining service without specifying the retrieval namespace. After this
* configuration the method run must be called to start the Pipeline.
*/
PipelineInterestsAimd(Face& face, RttEstimator& rttEstimator,
const Options& options = Options());
~PipelineInterestsAimd() final;
/**
* @brief Signals when cwnd changes
*
* The callback function should be: void(Milliseconds age, double cwnd) where age is the
* duration since pipeline starts, and cwnd is the new congestion window size (in segments).
*/
signal::Signal<PipelineInterestsAimd, Milliseconds, double> afterCwndChange;
private:
/**
* @brief fetch all the segments between 0 and lastSegment of the specified prefix
*
* Starts the pipeline with an AIMD algorithm to control the window size. The pipeline will fetch
* every segment until the last segment is successfully received or an error occurs.
* The segment with segment number equal to m_excludedSegmentNo will not be fetched.
*/
virtual void
doRun() final;
/**
* @brief stop all fetch operations
*/
virtual void
doCancel() final;
/**
* @brief check RTO for all sent-but-not-acked segments.
*/
void
checkRto();
/**
* @param segNo the segment # of the to-be-sent Interest
* @param isRetransmission true if this is a retransmission
*/
void
sendInterest(uint64_t segNo, bool isRetransmission);
void
schedulePackets();
void
handleData(const Interest& interest, const Data& data);
void
handleNack(const Interest& interest, const lp::Nack& nack);
void
handleLifetimeExpiration(const Interest& interest);
void
handleTimeout(int timeoutCount);
void
handleFail(uint64_t segNo, const std::string& reason);
/**
* @brief increase congestion window size based on AIMD scheme
*/
void
increaseWindow();
/**
* @brief decrease congestion window size based on AIMD scheme
*/
void
decreaseWindow();
/** \return next segment number to retrieve
* \post m_nextSegmentNo == return-value + 1
*/
uint64_t
getNextSegmentNo();
void
cancelInFlightSegmentsGreaterThan(uint64_t segmentNo);
void
printSummary() const;
PUBLIC_WITH_TESTS_ELSE_PRIVATE:
const Options m_options;
RttEstimator& m_rttEstimator;
Scheduler m_scheduler;
uint64_t m_nextSegmentNo;
size_t m_receivedSize;
uint64_t m_highData; ///< the highest segment number of the Data packet the consumer has received so far
uint64_t m_highInterest; ///< the highest segment number of the Interests the consumer has sent so far
uint64_t m_recPoint; ///< the value of m_highInterest when a packet loss event occurred
///< It remains fixed until the next packet loss event happens
uint64_t m_nInFlight; ///< # of segments in flight
uint64_t m_nReceived; ///< # of segments received
uint64_t m_nLossEvents; ///< # of loss events occurred
uint64_t m_nRetransmitted; ///< # of segments retransmitted
time::steady_clock::TimePoint m_startTime; ///< start time of pipelining
double m_cwnd; ///< current congestion window size (in segments)
double m_ssthresh; ///< current slow start threshold
std::queue<uint64_t> m_retxQueue;
std::unordered_map<uint64_t, SegmentInfo> m_segmentInfo; ///< the map keeps all the internal information
///< of the sent but not ackownledged segments
std::unordered_map<uint64_t, int> m_retxCount; ///< maps segment number to its retransmission count.
///< if the count reaches to the maximum number of
///< timeout/nack retries, the pipeline will be aborted
bool m_hasFailure;
uint64_t m_failedSegNo;
std::string m_failureReason;
};
std::ostream&
operator<<(std::ostream& os, const PipelineInterestsAimdOptions& options);
} // namespace aimd
using aimd::PipelineInterestsAimd;
} // namespace chunks
} // namespace ndn
#endif // NDN_TOOLS_CHUNKS_CATCHUNKS_PIPELINE_INTERESTS_AIMD_HPP
@@ -119,6 +119,8 @@ protected:
Name m_prefix;
uint64_t m_lastSegmentNo;
uint64_t m_excludedSegmentNo;
PUBLIC_WITH_TESTS_ELSE_PROTECTED:
bool m_hasFinalBlockId; ///< true if the last segment number is known
private: