Public Attributes
double	alpha = 0.125
	weight of exponential moving average for meanRtt More...

double	beta = 0.25
	weight of exponential moving average for varRtt More...

MillisecondsDouble	initialRto = MillisecondsDouble(1000.0)
	initial RTO value More...

int	k = 4
	factor of RTT variation when calculating RTO More...

MillisecondsDouble	maxRto = MillisecondsDouble(20000.0)
	upper bound of RTO More...

MillisecondsDouble	minRto = MillisecondsDouble(200.0)
	lower bound of RTO More...

int	rtoBackoffMultiplier = 2

Detailed Description

Definition at line 47 of file rtt-estimator.hpp.

Constructor & Destructor Documentation

constexpr ndn::util::RttEstimator::Options::Options ( )

inlinenoexcept

Definition at line 51 of file rtt-estimator.hpp.

double ndn::util::RttEstimator::Options::alpha = 0.125

weight of exponential moving average for meanRtt

Definition at line 56 of file rtt-estimator.hpp.

double ndn::util::RttEstimator::Options::beta = 0.25

weight of exponential moving average for varRtt

Definition at line 57 of file rtt-estimator.hpp.

MillisecondsDouble ndn::util::RttEstimator::Options::initialRto = MillisecondsDouble(1000.0)

initial RTO value

Definition at line 59 of file rtt-estimator.hpp.

int ndn::util::RttEstimator::Options::k = 4

factor of RTT variation when calculating RTO

Definition at line 58 of file rtt-estimator.hpp.

MillisecondsDouble ndn::util::RttEstimator::Options::maxRto = MillisecondsDouble(20000.0)

upper bound of RTO

Definition at line 61 of file rtt-estimator.hpp.

MillisecondsDouble ndn::util::RttEstimator::Options::minRto = MillisecondsDouble(200.0)

lower bound of RTO

Definition at line 60 of file rtt-estimator.hpp.

int ndn::util::RttEstimator::Options::rtoBackoffMultiplier = 2

Definition at line 62 of file rtt-estimator.hpp.