blob: 8984e7869b228e848383e3a4ab25ecd6d2e1b7ab [file] [log] [blame]
/*
* Copyright (c) 2016-2019, 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 "statistics-collector.hpp"
namespace ndn {
namespace chunks {
StatisticsCollector::StatisticsCollector(PipelineInterestsAdaptive& 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] (time::nanoseconds timeElapsed, double cwnd) {
m_osCwnd << timeElapsed.count() / 1e9 << '\t' << cwnd << '\n';
});
rttEstimator.afterMeasurement.connect(
[this] (const RttEstimator::Sample& sample) {
m_osRtt << *sample.segNum << '\t'
<< sample.rtt.count() << '\t'
<< sample.rttVar.count() << '\t'
<< sample.sRtt.count() << '\t'
<< sample.rto.count() << '\n';
});
}
} // namespace chunks
} // namespace ndn