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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3  * Copyright (C) 2016-2019, Arizona Board of Regents.
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5  * This file is part of ndn-cxx library (NDN C++ library with eXperimental eXtensions).
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21  * @author Shuo Yang
22  * @author Weiwei Liu
23  * @author Chavoosh Ghasemi
24  * @author Davide Pesavento
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26 
27 #ifndef NDN_CXX_UTIL_RTT_ESTIMATOR_HPP
28 #define NDN_CXX_UTIL_RTT_ESTIMATOR_HPP
29 
30 #include "ndn-cxx/util/time.hpp"
31 
32 namespace ndn {
33 namespace util {
34 
42 {
43 public:
44  struct Options
45  {
46  double alpha = 0.125;
47  double beta = 0.25;
51  int k = 4;
53  };
54 
59  explicit
60  RttEstimator(shared_ptr<const Options> options = nullptr);
61 
70  void
71  addMeasurement(time::nanoseconds rtt, size_t nExpectedSamples = 1);
72 
73  bool
74  hasSamples() const
75  {
76  return m_sRtt != -1_ns;
77  }
78 
84  {
85  return m_rto;
86  }
87 
94  {
95  return m_sRtt;
96  }
97 
104  {
105  return m_rttVar;
106  }
107 
111  void
112  backoffRto();
113 
114 protected:
115  shared_ptr<const Options> m_options;
116 
117 private:
118  time::nanoseconds m_sRtt{-1};
119  time::nanoseconds m_rttVar{-1};
120  time::nanoseconds m_rto;
121 };
122 
127 {
128 public:
129  using RttEstimator::Options;
131 
137 
146  void
147  addMeasurement(time::nanoseconds rtt, size_t nExpectedSamples = 1);
148 
153  getMinRtt() const
154  {
155  return m_rttMin;
156  }
157 
162  getMaxRtt() const
163  {
164  return m_rttMax;
165  }
166 
171  getAvgRtt() const
172  {
173  return m_rttAvg;
174  }
175 
176 private:
177  time::nanoseconds m_rttMin = time::nanoseconds::max();
178  time::nanoseconds m_rttMax = time::nanoseconds::min();
179  time::nanoseconds m_rttAvg = 0_ns;
180  int64_t m_nRttSamples = 0;
181 };
182 
183 } // namespace util
184 } // namespace ndn
185 
186 #endif // NDN_CXX_UTIL_RTT_ESTIMATOR_HPP
Copyright (c) 2011-2015 Regents of the University of California.
time::nanoseconds getEstimatedRto() const
Returns the estimated RTO value.
RTT/RTO estimator.
shared_ptr< const Options > m_options
time::nanoseconds initialRto
initial RTO value
time::nanoseconds maxRto
upper bound of RTO
void addMeasurement(time::nanoseconds rtt, size_t nExpectedSamples=1)
Records a new RTT measurement.
time::nanoseconds getMinRtt() const
Returns the minimum RTT observed.
void backoffRto()
Backoff RTO by a factor of Options::rtoBackoffMultiplier.
double alpha
weight of exponential moving average for smoothed RTT
RTT/RTO estimator that also maintains min/max/average RTT statistics.
time::nanoseconds minRto
lower bound of RTO
RttEstimator(shared_ptr< const Options > options=nullptr)
Constructor.
int k
RTT variation multiplier used when calculating RTO.
time::nanoseconds getAvgRtt() const
Returns the average RTT.
double beta
weight of exponential moving average for RTT variation
time::nanoseconds getSmoothedRtt() const
Returns the smoothed RTT value (SRTT).
time::nanoseconds getMaxRtt() const
Returns the maximum RTT observed.
time::nanoseconds getRttVariation() const
Returns the RTT variation (RTTVAR).
boost::chrono::nanoseconds nanoseconds
Definition: time.hpp:50
int rtoBackoffMultiplier
RTO multiplier used in backoff operation.