Eric Newberry | e345baa | 2018-05-23 18:17:07 -0700 | [diff] [blame] | 1 | /* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */ |
| 2 | /* |
| 3 | * Copyright (C) 2016-2018, Arizona Board of Regents. |
| 4 | * |
| 5 | * This file is part of ndn-cxx library (NDN C++ library with eXperimental eXtensions). |
| 6 | * |
| 7 | * ndn-cxx library is free software: you can redistribute it and/or modify it under the |
| 8 | * terms of the GNU Lesser General Public License as published by the Free Software |
| 9 | * Foundation, either version 3 of the License, or (at your option) any later version. |
| 10 | * |
| 11 | * ndn-cxx library is distributed in the hope that it will be useful, but WITHOUT ANY |
| 12 | * WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A |
| 13 | * PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. |
| 14 | * |
| 15 | * You should have received copies of the GNU General Public License and GNU Lesser |
| 16 | * General Public License along with ndn-cxx, e.g., in COPYING.md file. If not, see |
| 17 | * <http://www.gnu.org/licenses/>. |
| 18 | * |
| 19 | * See AUTHORS.md for complete list of ndn-cxx authors and contributors. |
| 20 | * |
| 21 | * @author Shuo Yang |
| 22 | * @author Weiwei Liu |
| 23 | * @author Chavoosh Ghasemi |
| 24 | */ |
| 25 | |
| 26 | #include "rtt-estimator.hpp" |
| 27 | |
| 28 | #include <cmath> |
| 29 | #include <limits> |
| 30 | |
| 31 | namespace ndn { |
| 32 | namespace util { |
| 33 | |
| 34 | RttEstimator::RttEstimator(const Options& options) |
| 35 | : m_options(options) |
| 36 | , m_sRtt(std::numeric_limits<double>::quiet_NaN()) |
| 37 | , m_rttVar(std::numeric_limits<double>::quiet_NaN()) |
| 38 | , m_rto(m_options.initialRto.count()) |
| 39 | , m_rttMin(std::numeric_limits<double>::max()) |
| 40 | , m_rttMax(std::numeric_limits<double>::min()) |
| 41 | , m_rttAvg(0.0) |
| 42 | , m_nRttSamples(0) |
| 43 | { |
| 44 | } |
| 45 | |
| 46 | void |
| 47 | RttEstimator::addMeasurement(MillisecondsDouble rtt, size_t nExpectedSamples) |
| 48 | { |
| 49 | BOOST_ASSERT(nExpectedSamples > 0); |
| 50 | |
| 51 | if (m_nRttSamples == 0) { // first measurement |
| 52 | m_sRtt = rtt; |
| 53 | m_rttVar = m_sRtt / 2; |
| 54 | m_rto = m_sRtt + m_options.k * m_rttVar; |
| 55 | } |
| 56 | else { |
| 57 | double alpha = m_options.alpha / nExpectedSamples; |
| 58 | double beta = m_options.beta / nExpectedSamples; |
| 59 | m_rttVar = (1 - beta) * m_rttVar + beta * time::abs(m_sRtt - rtt); |
| 60 | m_sRtt = (1 - alpha) * m_sRtt + alpha * rtt; |
| 61 | m_rto = m_sRtt + m_options.k * m_rttVar; |
| 62 | } |
| 63 | |
| 64 | m_rto = clamp(m_rto, m_options.minRto, m_options.maxRto); |
| 65 | |
| 66 | m_rttAvg = MillisecondsDouble((m_nRttSamples * m_rttAvg.count() + rtt.count()) / (m_nRttSamples + 1)); |
| 67 | m_rttMax = std::max<MillisecondsDouble>(rtt, m_rttMax); |
| 68 | m_rttMin = std::min<MillisecondsDouble>(rtt, m_rttMin); |
| 69 | m_nRttSamples++; |
| 70 | } |
| 71 | |
| 72 | void |
| 73 | RttEstimator::backoffRto() |
| 74 | { |
| 75 | m_rto = clamp(m_rto * m_options.rtoBackoffMultiplier, |
| 76 | m_options.minRto, m_options.maxRto); |
| 77 | } |
| 78 | |
| 79 | } // namespace util |
| 80 | } // namespace ndn |