NS-3 based Named Data Networking (NDN) simulator
ndnSIM 2.5: NDN, CCN, CCNx, content centric networks
API Documentation
rtt-estimator.hpp
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/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
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/*
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* Copyright (C) 2016-2019, Arizona Board of Regents.
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*
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* This file is part of ndn-cxx library (NDN C++ library with eXperimental eXtensions).
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*
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* ndn-cxx library is free software: you can redistribute it and/or modify it under the
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* terms of the GNU Lesser General Public License as published by the Free Software
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* Foundation, either version 3 of the License, or (at your option) any later version.
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*
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* ndn-cxx library is distributed in the hope that it will be useful, but WITHOUT ANY
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* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
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* PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
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*
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* You should have received copies of the GNU General Public License and GNU Lesser
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* General Public License along with ndn-cxx, e.g., in COPYING.md file. If not, see
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* <http://www.gnu.org/licenses/>.
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*
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* See AUTHORS.md for complete list of ndn-cxx authors and contributors.
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*
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* @author Shuo Yang
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* @author Weiwei Liu
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* @author Chavoosh Ghasemi
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* @author Davide Pesavento
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*/
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#ifndef NDN_CXX_UTIL_RTT_ESTIMATOR_HPP
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#define NDN_CXX_UTIL_RTT_ESTIMATOR_HPP
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#include "
ndn-cxx/util/time.hpp
"
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namespace
ndn
{
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namespace
util {
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class
RttEstimator
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{
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public
:
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struct
Options
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{
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double
alpha
= 0.125;
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double
beta
= 0.25;
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time::nanoseconds
initialRto
= 1_s;
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time::nanoseconds
minRto
= 200_ms;
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time::nanoseconds
maxRto
= 1_min;
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int
k
= 4;
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int
rtoBackoffMultiplier
= 2;
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};
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explicit
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RttEstimator
(shared_ptr<const Options> options =
nullptr
);
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void
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addMeasurement
(
time::nanoseconds
rtt,
size_t
nExpectedSamples = 1);
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bool
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hasSamples
()
const
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{
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return
m_sRtt != -1_ns;
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}
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time::nanoseconds
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getEstimatedRto
()
const
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{
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return
m_rto;
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}
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time::nanoseconds
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getSmoothedRtt
()
const
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{
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return
m_sRtt;
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}
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time::nanoseconds
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getRttVariation
()
const
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{
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return
m_rttVar;
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}
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void
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backoffRto
();
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protected
:
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shared_ptr<const Options>
m_options
;
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private
:
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time::nanoseconds
m_sRtt{-1};
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time::nanoseconds
m_rttVar{-1};
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time::nanoseconds
m_rto;
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};
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class
RttEstimatorWithStats
:
private
RttEstimator
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{
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public
:
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using
RttEstimator::Options
;
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using
RttEstimator::RttEstimator
;
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using
RttEstimator::hasSamples
;
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using
RttEstimator::getEstimatedRto
;
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using
RttEstimator::getSmoothedRtt
;
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using
RttEstimator::getRttVariation
;
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using
RttEstimator::backoffRto
;
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void
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addMeasurement
(
time::nanoseconds
rtt,
size_t
nExpectedSamples = 1);
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time::nanoseconds
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getMinRtt
()
const
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{
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return
m_rttMin;
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}
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time::nanoseconds
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getMaxRtt
()
const
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{
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return
m_rttMax;
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}
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time::nanoseconds
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getAvgRtt
()
const
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{
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return
m_rttAvg;
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}
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private
:
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time::nanoseconds
m_rttMin = time::nanoseconds::max();
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time::nanoseconds
m_rttMax = time::nanoseconds::min();
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time::nanoseconds
m_rttAvg = 0_ns;
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int64_t m_nRttSamples = 0;
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};
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}
// namespace util
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}
// namespace ndn
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#endif // NDN_CXX_UTIL_RTT_ESTIMATOR_HPP
ndn
Copyright (c) 2011-2015 Regents of the University of California.
Definition:
ndn-strategy-choice-helper.hpp:34
ndn::util::RttEstimator::getEstimatedRto
time::nanoseconds getEstimatedRto() const
Returns the estimated RTO value.
Definition:
rtt-estimator.hpp:83
time.hpp
ndn::util::RttEstimator
RTT/RTO estimator.
Definition:
rtt-estimator.hpp:41
ndn::util::RttEstimator::m_options
shared_ptr< const Options > m_options
Definition:
rtt-estimator.hpp:115
ndn::util::RttEstimator::Options::initialRto
time::nanoseconds initialRto
initial RTO value
Definition:
rtt-estimator.hpp:48
ndn::util::RttEstimator::Options::maxRto
time::nanoseconds maxRto
upper bound of RTO
Definition:
rtt-estimator.hpp:50
ndn::util::RttEstimator::addMeasurement
void addMeasurement(time::nanoseconds rtt, size_t nExpectedSamples=1)
Records a new RTT measurement.
Definition:
rtt-estimator.cpp:46
ndn::util::RttEstimatorWithStats::getMinRtt
time::nanoseconds getMinRtt() const
Returns the minimum RTT observed.
Definition:
rtt-estimator.hpp:153
ndn::util::RttEstimator::backoffRto
void backoffRto()
Backoff RTO by a factor of Options::rtoBackoffMultiplier.
Definition:
rtt-estimator.cpp:67
ndn::util::RttEstimator::hasSamples
bool hasSamples() const
Definition:
rtt-estimator.hpp:74
ndn::util::RttEstimator::Options::alpha
double alpha
weight of exponential moving average for smoothed RTT
Definition:
rtt-estimator.hpp:46
ndn::util::RttEstimatorWithStats
RTT/RTO estimator that also maintains min/max/average RTT statistics.
Definition:
rtt-estimator.hpp:126
ndn::util::RttEstimator::Options::minRto
time::nanoseconds minRto
lower bound of RTO
Definition:
rtt-estimator.hpp:49
ndn::util::RttEstimator::RttEstimator
RttEstimator(shared_ptr< const Options > options=nullptr)
Constructor.
Definition:
rtt-estimator.cpp:32
ndn::util::RttEstimator::Options::k
int k
RTT variation multiplier used when calculating RTO.
Definition:
rtt-estimator.hpp:51
ndn::util::RttEstimatorWithStats::getAvgRtt
time::nanoseconds getAvgRtt() const
Returns the average RTT.
Definition:
rtt-estimator.hpp:171
ndn::util::RttEstimator::Options::beta
double beta
weight of exponential moving average for RTT variation
Definition:
rtt-estimator.hpp:47
ndn::util::RttEstimator::getSmoothedRtt
time::nanoseconds getSmoothedRtt() const
Returns the smoothed RTT value (SRTT).
Definition:
rtt-estimator.hpp:93
ndn::util::RttEstimatorWithStats::getMaxRtt
time::nanoseconds getMaxRtt() const
Returns the maximum RTT observed.
Definition:
rtt-estimator.hpp:162
ndn::util::RttEstimator::getRttVariation
time::nanoseconds getRttVariation() const
Returns the RTT variation (RTTVAR).
Definition:
rtt-estimator.hpp:103
ndn::time::nanoseconds
boost::chrono::nanoseconds nanoseconds
Definition:
time.hpp:50
ndn::util::RttEstimator::Options::rtoBackoffMultiplier
int rtoBackoffMultiplier
RTO multiplier used in backoff operation.
Definition:
rtt-estimator.hpp:52
ndn::util::RttEstimator::Options
Definition:
rtt-estimator.hpp:44
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rtt-estimator.hpp
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