ndn-rtt-mean-deviation.cpp

Go to the documentation of this file.

/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
//
// Copyright (c) 2006 Georgia Tech Research Corporation
//           (c) 2013 University of Arizona
//           (c) 2013 University of California, Los Angeles
//
// This program is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License version 2 as
// published by the Free Software Foundation;
//
// This program 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 this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
//
// Author: Rajib Bhattacharjea<raj.b@gatech.edu>
//         Cheng Yi <yic@email.arizona.edu>
//         Alexander Afanasyev <alexander.afanasyev@ucla.edu>
//
 
// Georgia Tech Network Simulator - Round Trip Time Estimation Class
// George F. Riley.  Georgia Tech, Spring 2002
 
#include "ndn-rtt-mean-deviation.hpp"
#include "ns3/simulator.h"
#include "ns3/double.h"
#include "ns3/integer.h"
#include "ns3/uinteger.h"
#include "ns3/log.h"
 
NS_LOG_COMPONENT_DEFINE("ndn.RttMeanDeviation");
 
namespace ns3 {
namespace ndn {
 
//---------------------------------------------------------------------------------
// A modified version of Mean-Deviation Estimator optimized for NDN packet delivery
 
NS_OBJECT_ENSURE_REGISTERED(RttMeanDeviation);
 
TypeId
RttMeanDeviation::GetTypeId(void)
{
  static TypeId tid =
    TypeId("ns3::ndn::RttMeanDeviation")
      .SetParent<RttEstimator>()
      .AddConstructor<RttMeanDeviation>()
      .AddAttribute("Gain", "Gain used in estimating the RTT (smoothed RTT), must be 0 < Gain < 1",
                    DoubleValue(0.125), MakeDoubleAccessor(&RttMeanDeviation::m_gain),
                    MakeDoubleChecker<double>())
      .AddAttribute("Gain2", "Gain2 used in estimating the RTT (variance), must be 0 < Gain2 < 1",
                    DoubleValue(0.25), MakeDoubleAccessor(&RttMeanDeviation::m_gain2),
                    MakeDoubleChecker<double>());
  return tid;
}
 
RttMeanDeviation::RttMeanDeviation()
  : m_variance(0)
{
  NS_LOG_FUNCTION(this);
}
 
RttMeanDeviation::RttMeanDeviation(const RttMeanDeviation& c)
  : RttEstimator(c)
  , m_gain(c.m_gain)
  , m_gain2(c.m_gain2)
  , m_variance(c.m_variance)
{
  NS_LOG_FUNCTION(this);
}
 
TypeId
RttMeanDeviation::GetInstanceTypeId(void) const
{
  return GetTypeId();
}
 
void
RttMeanDeviation::Measurement(Time m)
{
  NS_LOG_FUNCTION(this << m);
  if (m_nSamples) { // Not first
    Time err(m - m_currentEstimatedRtt);
    double gErr = err.ToDouble(Time::S) * m_gain;
    m_currentEstimatedRtt += Time::FromDouble(gErr, Time::S);
    Time difference = Abs(err) - m_variance;
    NS_LOG_DEBUG(
      "m_variance += " << Time::FromDouble(difference.ToDouble(Time::S) * m_gain2, Time::S));
    m_variance += Time::FromDouble(difference.ToDouble(Time::S) * m_gain2, Time::S);
  }
  else {                       // First sample
    m_currentEstimatedRtt = m; // Set estimate to current
    // variance = sample / 2;               // And variance to current / 2
    // m_variance = m; // try this  why????
    m_variance = Seconds(m.ToDouble(Time::S) / 2);
    NS_LOG_DEBUG("(first sample) m_variance += " << m);
  }
  m_nSamples++;
}
 
Time
RttMeanDeviation::RetransmitTimeout()
{
  NS_LOG_FUNCTION(this);
 
  double retval = std::min(m_maxRto.ToDouble(Time::S),
                           std::max(m_multiplier * m_minRto.ToDouble(Time::S),
                                    m_multiplier * (m_currentEstimatedRtt.ToDouble(Time::S)
                                                    + 4 * m_variance.ToDouble(Time::S))));
 
  NS_LOG_DEBUG("RetransmitTimeout:  return " << retval);
 
  return Seconds(retval);
}
 
Ptr<RttEstimator>
RttMeanDeviation::Copy() const
{
  NS_LOG_FUNCTION(this);
  return CopyObject<RttMeanDeviation>(this);
}
 
void
RttMeanDeviation::Reset()
{
  NS_LOG_FUNCTION(this);
  // Reset to initial state
  m_variance = Seconds(0);
  RttEstimator::Reset();
}
 
void
RttMeanDeviation::Gain(double g)
{
  NS_LOG_FUNCTION(this);
  NS_ASSERT_MSG((g > 0) && (g < 1),
                "RttMeanDeviation: Gain must be less than 1 and greater than 0");
  m_gain = g;
}
 
void
RttMeanDeviation::SentSeq(SequenceNumber32 seq, uint32_t size)
{
  NS_LOG_FUNCTION(this << seq << size);
 
  RttHistory_t::iterator i;
  for (i = m_history.begin(); i != m_history.end(); ++i) {
    if (seq == i->seq) { // Found it
      i->retx = true;
      break;
    }
  }
 
  // Note that a particular sequence has been sent
  if (i == m_history.end())
    m_history.push_back(RttHistory(seq, size, Simulator::Now()));
}
 
Time
RttMeanDeviation::AckSeq(SequenceNumber32 ackSeq)
{
  NS_LOG_FUNCTION(this << ackSeq);
  // An ack has been received, calculate rtt and log this measurement
  // Note we use a linear search (O(n)) for this since for the common
  // case the ack'ed packet will be at the head of the list
  Time m = Seconds(0.0);
  if (m_history.size() == 0)
    return (m); // No pending history, just exit
 
  for (RttHistory_t::iterator i = m_history.begin(); i != m_history.end(); ++i) {
    if (ackSeq == i->seq) { // Found it
      if (!i->retx) {
        m = Simulator::Now() - i->time; // Elapsed time
        Measurement(m);                 // Log the measurement
        ResetMultiplier();              // Reset multiplier on valid measurement
      }
      m_history.erase(i);
      break;
    }
  }
 
  return m;
}
 
} // namespace ndn
} // namespace ns3