Index

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

A - Variable in class ikr.simlib.distributions.continuous.GammaDistribution
absoluteTime - Variable in class ikr.simlib.untested.trace.TraceFile: Contains the traceFile absolute or relative times
activate() - Method in class ikr.simlib.entities.generators.Generator
activate() - Method in class ikr.simlib.entities.generators.GreedyGenerator
activated - Variable in class ikr.simlib.entities.generators.Generator
activeBursts - Variable in class ikr.simlib.entities.generators.BurstGenerator
activePhases - Variable in class ikr.simlib.entities.phases.InfiniteServer
activeQ - Variable in class ikr.simlib.algorithms.queuingDisciplines.FairQueuing
activeQIndex - Variable in class ikr.simlib.algorithms.queuingDisciplines.DeficitRoundRobinFairQueuing
activeQIndex - Variable in class ikr.simlib.algorithms.queuingDisciplines.MessageFairQueuing
activeQListIsEmpty() - Method in class ikr.simlib.algorithms.queuingDisciplines.DeficitRoundRobinFairQueuing
activeQListIsEmpty() - Method in class ikr.simlib.algorithms.queuingDisciplines.FairQueuing
activeQListIsEmpty() - Method in class ikr.simlib.algorithms.queuingDisciplines.MessageFairQueuing
activeQListIsEmpty() - Method in class ikr.simlib.algorithms.queuingDisciplines.UnitFairQueuing
activeQs - Variable in class ikr.simlib.algorithms.queuingDisciplines.DeficitRoundRobinFairQueuing
activeQs - Variable in class ikr.simlib.algorithms.queuingDisciplines.MessageFairQueuing
activeQs - Variable in class ikr.simlib.algorithms.queuingDisciplines.UnitFairQueuing
actualPos - Variable in class ikr.simlib.statistics.boundary.JainBoundaryStatistic
add(String, Value) - Method in class ikr.simlib.parameters.Parameters
add(double[], double[]) - Static method in class ikr.simlib.support.Vectors: Adds each element from two vectors and returns the result as a new vector.
add(double) - Method in class ikr.simlib.untested.statistics.boundary.SortedSamples
addChild(SimNode) - Method in interface ikr.simlib.model.SimNode
addChild(SimNode) - Method in class ikr.simlib.model.StdSimNode: Adds a new PrintServer as a child ModelNode.
addNotifier(Notifier) - Method in class ikr.simlib.control.notification.MultiNotificationHandler
addOption(char, int, int) - Method in class ikr.simlib.support.cmdline.ArgParser: Adds an option to the parser.
addOption(char, int) - Method in class ikr.simlib.support.cmdline.ArgParser: Adds an option with exactly args arguments to the parser.
addOption(char) - Method in class ikr.simlib.support.cmdline.ArgParser: Adds an option without arguments to the parser.
addOptions(ArgParser) - Method in class ikr.simlib.control.SimulationEnvironment
addPhase(ServerPhase) - Method in class ikr.simlib.entities.multiphase.MultiPhasePrioServer
addPort(Double) - Method in class ikr.simlib.entities.branches.Branch
addPort(String, Double) - Method in class ikr.simlib.entities.branches.Branch
addPort(String, P) - Method in class ikr.simlib.entities.branches.Expander
addPort(P) - Method in class ikr.simlib.entities.branches.Expander
addPort(String) - Method in class ikr.simlib.entities.demultiplexers.StdDemultiplexer
addPort() - Method in class ikr.simlib.entities.demultiplexers.StdDemultiplexer: Uses "output <++N>" as port name
addPort(Port) - Method in class ikr.simlib.entities.Entity: Adds a port to this entity.
addPort(String) - Method in class ikr.simlib.entities.multiplexers.StdMultiplexer
addPort() - Method in class ikr.simlib.entities.multiplexers.StdMultiplexer: Use "input <++N>" as port name
addPortMonitor(PortMonitor) - Method in class ikr.simlib.ports.Port
addResultTag(ResultKeyword, String) - Method in interface ikr.simlib.result.ResultTaggable: Adds a tag (keyword and value) to the output of this object in the final results file.
addResultTag(String, String) - Method in interface ikr.simlib.result.ResultTaggable
addResultTag(ResultKeyword, String) - Method in class ikr.simlib.statistics.Statistic
addResultTag(String, String) - Method in class ikr.simlib.statistics.Statistic
addRule(FilterRuleType, String) - Method in class ikr.simlib.result.filtering.Filter
addTimeStamp(Message, PointInTime) - Method in class ikr.simlib.meters.time.TimeMeter: put from-port time stamp into the map
addToActiveQList(FairQueuing.SortableQDiscContainer) - Method in class ikr.simlib.algorithms.queuingDisciplines.DeficitRoundRobinFairQueuing
addToActiveQList(FairQueuing.SortableQDiscContainer) - Method in class ikr.simlib.algorithms.queuingDisciplines.FairQueuing
addToActiveQList(FairQueuing.SortableQDiscContainer) - Method in class ikr.simlib.algorithms.queuingDisciplines.MessageFairQueuing
addToActiveQList(FairQueuing.SortableQDiscContainer) - Method in class ikr.simlib.algorithms.queuingDisciplines.UnitFairQueuing
advanceActiveQ() - Method in class ikr.simlib.algorithms.queuingDisciplines.DeficitRoundRobinFairQueuing
advanceActiveQ() - Method in class ikr.simlib.algorithms.queuingDisciplines.FairQueuing
advanceActiveQ() - Method in class ikr.simlib.algorithms.queuingDisciplines.MessageFairQueuing
advanceActiveQ() - Method in class ikr.simlib.algorithms.queuingDisciplines.UnitFairQueuing
Aggregator<T,V> - Interface in ikr.simlib.statistics.aggregating: interface for classes which aggregate multiple values.
aliasPort(Port, String) - Method in class ikr.simlib.entities.Entity
aliasPort(Entity, String, String) - Method in class ikr.simlib.entities.Entity
aliasPortName - Variable in class ikr.simlib.entities.Entity.PortAlias
alpha - Variable in class ikr.simlib.distributions.continuous.GammaDistribution
alphaReciprocal - Variable in class ikr.simlib.distributions.continuous.ParetoDistribution
alphaReciprocal - Variable in class ikr.simlib.distributions.continuous.WeibullDistribution
append(ServerJob) - Method in class ikr.simlib.entities.multiphase.ServerPhase
append(ServerJob) - Method in class ikr.simlib.entities.multiphase.ServerPriorityQueue
AREA - Static variable in class ikr.simlib.result.ResultKeywords
ArgParser - Class in ikr.simlib.support.cmdline: ArgParser gives support for command line parsing.
ArgParser(String, String, int, int) - Constructor for class ikr.simlib.support.cmdline.ArgParser: Constructs a new argument parser for the program.
ArgParser(String, String, int) - Constructor for class ikr.simlib.support.cmdline.ArgParser: Constructs a new argument parser for the program.
ArgParser(String, String) - Constructor for class ikr.simlib.support.cmdline.ArgParser: Constructs a new argument parser for the program.
ArgumentException - Exception in ikr.simlib.support.cmdline
ArgumentException(String) - Constructor for exception ikr.simlib.support.cmdline.ArgumentException
Array - Class in ikr.simlib.parameters.values
Array(Value[]) - Constructor for class ikr.simlib.parameters.values.Array
Array(List<Value>) - Constructor for class ikr.simlib.parameters.values.Array
ARRAY - Static variable in class ikr.simlib.result.xml.XMLConstants
ARRAY_ITEM - Static variable in class ikr.simlib.result.xml.XMLConstants
ARRAY_TYPE - Static variable in class ikr.simlib.result.xml.XMLConstants
arraySize - Variable in class ikr.simlib.statistics.distribution.StdDistributionStatistic
arrivalTime - Variable in class ikr.simlib.entities.multiphase.ServerJob
asBatch() - Method in class ikr.simlib.result.ResultKeyword: Returns a version of the given keyword as batch keyword.
asBoolean() - Method in class ikr.simlib.parameters.values.Array
asBoolean() - Method in class ikr.simlib.parameters.values.Scalar
asBoolean() - Method in class ikr.simlib.parameters.values.Value
asConditionalStatistic(UnweightedSampleCollector<Value>) - Static method in class ikr.simlib.statistics.Statistics: wraps an UnweightedSampleCollector so that it implements the interface ConditionalUnweightedStatistic.
asConditionalStatistic(WeightedSampleCollector<Value, Weight>) - Static method in class ikr.simlib.statistics.Statistics: wraps a WeightedSampleCollector so that it implements the interface ConditionalWeightedStatistic.
asConfidenceInterval() - Method in class ikr.simlib.result.ResultKeyword: Returns a version of the given keyword as confidence interval keyword.
asDouble() - Method in class ikr.simlib.parameters.values.Array
asDouble() - Method in class ikr.simlib.parameters.values.Scalar
asDouble() - Method in class ikr.simlib.parameters.values.Value
asDoubleMatrix() - Method in class ikr.simlib.parameters.values.Array
asDoubleMatrix() - Method in class ikr.simlib.parameters.values.Scalar
asDoubleMatrix() - Method in class ikr.simlib.parameters.values.Value
asDoubleVector() - Method in class ikr.simlib.parameters.values.Array
asDoubleVector() - Method in class ikr.simlib.parameters.values.Scalar
asDoubleVector() - Method in class ikr.simlib.parameters.values.Value
asEnum(Class<T>) - Method in class ikr.simlib.parameters.values.Array
asEnum(Class<T>) - Method in class ikr.simlib.parameters.values.Scalar
asEnum(Class<T>) - Method in class ikr.simlib.parameters.values.Value
asExport() - Method in class ikr.simlib.result.ResultKeyword: Returns a version of the given keyword which is suitable as a export keyword.
asExport(String) - Static method in class ikr.simlib.result.ResultKeyword
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7, P8, P9) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7, P8) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2, P3, P4, P5) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2, P3, P4) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2, P3) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>) - Method in class ikr.simlib.parameters.values.Array
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7, P8, P9) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7, P8) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2, P3, P4, P5) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2, P3, P4) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2, P3) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>) - Method in class ikr.simlib.parameters.values.Scalar
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7, P8, P9) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7, P8) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6, P7) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1, P2, P3, P4, P5, P6) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1, P2, P3, P4, P5) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1, P2, P3, P4) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1, P2, P3) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1, P2) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0, P1) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>, P0) - Method in class ikr.simlib.parameters.values.Value
asInstance(Class<T>) - Method in class ikr.simlib.parameters.values.Value
asInteger() - Method in class ikr.simlib.parameters.values.Array
asInteger() - Method in class ikr.simlib.parameters.values.Scalar
asInteger() - Method in class ikr.simlib.parameters.values.Value
asIntegerMatrix() - Method in class ikr.simlib.parameters.values.Array
asIntegerMatrix() - Method in class ikr.simlib.parameters.values.Scalar
asIntegerMatrix() - Method in class ikr.simlib.parameters.values.Value
asIntegerVector() - Method in class ikr.simlib.parameters.values.Array
asIntegerVector() - Method in class ikr.simlib.parameters.values.Scalar
asIntegerVector() - Method in class ikr.simlib.parameters.values.Value
asList() - Method in class ikr.simlib.result.ResultKeyword: Returns a version of the given keyword which is suitable as a list keyword.
asList(String) - Static method in class ikr.simlib.result.ResultKeyword
asLong() - Method in class ikr.simlib.parameters.values.Array
asLong() - Method in class ikr.simlib.parameters.values.Scalar
asLong() - Method in class ikr.simlib.parameters.values.Value
asLongMatrix() - Method in class ikr.simlib.parameters.values.Array
asLongMatrix() - Method in class ikr.simlib.parameters.values.Scalar
asLongMatrix() - Method in class ikr.simlib.parameters.values.Value
asLongVector() - Method in class ikr.simlib.parameters.values.Array
asLongVector() - Method in class ikr.simlib.parameters.values.Scalar
asLongVector() - Method in class ikr.simlib.parameters.values.Value
asMax() - Method in class ikr.simlib.result.ResultKeyword: Returns a version of the given keyword as maximum keyword.
asMean() - Method in class ikr.simlib.result.ResultKeyword: Returns a version of the given keyword as mean keyword.
asMin() - Method in class ikr.simlib.result.ResultKeyword: Returns a version of the given keyword as minimum keyword.
assignId(IPPacket) - Method in class ikr.simlib.messages.factories.UniqueIdIPMessageFactory
ASSIGNMENT_CHARACTER - Static variable in class ikr.simlib.parameters.fileparser.FileParser
asString() - Method in class ikr.simlib.parameters.values.Array
asString() - Method in class ikr.simlib.parameters.values.Scalar
asString() - Method in class ikr.simlib.parameters.values.Value
asStringMatrix() - Method in class ikr.simlib.parameters.values.Array
asStringMatrix() - Method in class ikr.simlib.parameters.values.Scalar
asStringMatrix() - Method in class ikr.simlib.parameters.values.Value
asStringVector() - Method in class ikr.simlib.parameters.values.Array
asStringVector() - Method in class ikr.simlib.parameters.values.Scalar
asStringVector() - Method in class ikr.simlib.parameters.values.Value
asWeightedStatistic(UnweightedSampleCollector<Value>) - Static method in class ikr.simlib.statistics.Statistics: wraps an UnweightedSampleCollector, so that it accepts a weight but ignores it
asWeightedStatistic(ConditionalUnweightedStatistic<Key, Value>) - Static method in class ikr.simlib.statistics.Statistics: wraps an UnweightedSampleCollector, so that it accepts a weight but ignores it
attachFromPort(Entity, String) - Method in class ikr.simlib.meters.TwoPointMeter: Attaches this meter to the specified port.
attachFromPort(Port) - Method in class ikr.simlib.meters.TwoPointMeter: Attaches this meter to the specified port.
attachInput(Entity, String) - Method in class ikr.simlib.meters.OnePointMeter: Attaches this meter to the specified port.
attachInput(Port) - Method in class ikr.simlib.meters.OnePointMeter: Attaches this meter to the specified port.
attachToPort(Entity, String) - Method in class ikr.simlib.meters.TwoPointMeter: Attaches this meter to the specified port.
attachToPort(Port) - Method in class ikr.simlib.meters.TwoPointMeter: Attaches this meter to the specified port.
AutoCorrelationStatistic - Class in ikr.simlib.untested.statistics.correlation: AutoCorrelationStatistic is the base class for auto-correlation statistics.
AutoCorrelationStatistic(SimNode) - Constructor for class ikr.simlib.untested.statistics.correlation.AutoCorrelationStatistic

B

B - Variable in class ikr.simlib.distributions.continuous.GammaDistribution

baseDist - Variable in class ikr.simlib.distributions.continuous.LognormalDistribution

baseDist - Variable in class ikr.simlib.distributions.continuous.transform.BoundedDistribution

baseDist - Variable in class ikr.simlib.distributions.continuous.transform.TransformedDistribution

baseDist - Variable in class ikr.simlib.distributions.discrete.transform.CeiledDistribution

baseDist - Variable in class ikr.simlib.distributions.discrete.transform.DiscreteBoundedDistribution

baseDist - Variable in class ikr.simlib.distributions.discrete.transform.DiscreteTransformedDistribution

baseDist - Variable in class ikr.simlib.distributions.discrete.transform.FlooredDistribution

baseDist - Variable in class ikr.simlib.distributions.discrete.transform.RoundedDistribution

baseQueue - Variable in class ikr.simlib.entities.multiphase.ServerPriorityQueue

BATCH - Static variable in class ikr.simlib.result.xml.XMLConstants

BATCH_AREA - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_BLOCKSIZE - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_BUCKET_MEAN - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_CALLS - Static variable in class ikr.simlib.control.simulationcontrol.ControlCounter

BATCH_CALLS - Static variable in class ikr.simlib.meters.count.ControlCountMeter

BATCH_COEFF - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_COV - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_COV_LIST - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_DEVIATION - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_DISTRIBUTION - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_MAX - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_MEAN - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_MEDIAN - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_MIN - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_NUMBER_ATTRIBUTE - Static variable in class ikr.simlib.result.xml.XMLConstants

BATCH_NUMBER_OF_EVENTS - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_NUMBER_OF_SAMPLES - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_OVERFLOW_PROB - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_PDF - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_PROBABILITY - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_RATE - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_SAMPLE_RATE - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_SUM - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_UBOUND - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_UNDERFLOW_PROB - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_VARIANCE - Static variable in class ikr.simlib.result.ResultKeywords

BATCH_VARIANCE_LIST - Static variable in class ikr.simlib.result.ResultKeywords

batchCount - Variable in class ikr.simlib.control.simulationcontrol.ControlCounter

BatchExportable - Interface in ikr.simlib.result

Classes supporting batch parallelization must implement this interface to support import and export of batch states.

batchHandler - Variable in class ikr.simlib.control.Simulation

the handler of the end of a batch

batchLogWriters - Variable in class ikr.simlib.control.SimulationEnvironment

batchSamples - Variable in class ikr.simlib.statistics.batchsum.StdBatchSumStatistic

BatchSumStatistic - Class in ikr.simlib.statistics.batchsum

The classes BatchSumStatistic or StdBatchSumStatistic add up measured values (e.g., number of bytes that have passed a certain port) of the type long during a batch with the help of the method Statistic.update().

BatchSumStatistic(SimNode) - Constructor for class ikr.simlib.statistics.batchsum.BatchSumStatistic

BernoulliDistribution - Class in ikr.simlib.distributions.discrete

Bernoulli Distribution

Meaning: Single random experiment with the success probability \(q (0 \le q \le 1)\)

Parameters: Success probability = mean value \(q\) Distribution: \(P(X=i) = p_i = \begin{cases} 1-q &\mbox{for } i=0 \\ q &\mbox{for } i=1 \\ 0 & \mbox{else } \end{cases} \)

Expected value: \(E[X]=q\)

Variance: \(VAR[X]=q(1-q)\)

Coefficient of variation: \(c_T=\sqrt{ \frac{ 1-q }{q} }\)

Generating func.: \(G(z)=1-q+qz \)

Parser example:


         [...].Distribution = ikr.simlib.distributions.discrete.BernoulliDistribution
         

         [...].Distribution.mean = 0.6

BernoulliDistribution(double, RandomNumberGenerator) - Constructor for class ikr.simlib.distributions.discrete.BernoulliDistribution

BernoulliDistribution(double) - Constructor for class ikr.simlib.distributions.discrete.BernoulliDistribution

beta - Variable in class ikr.simlib.distributions.continuous.GammaDistribution

beta - Variable in class ikr.simlib.distributions.continuous.WeibullDistribution

BetaDistribution - Class in ikr.simlib.distributions.continuous

Beta Distribution

Meaning: Distribution of a random variable \(T= \frac{Z_1}{Z_1+Z_2}\), if \(Z_1\) and \(Z_2\) are gamma distributed with the parameters \(\alpha_1\) and \(\beta\) as well as \(\alpha_2\) and \(\beta\).

BetaDistribution(double, double, RandomNumberGenerator) - Constructor for class ikr.simlib.distributions.continuous.BetaDistribution

BetaDistribution(double, double) - Constructor for class ikr.simlib.distributions.continuous.BetaDistribution

BinaryBranch - Class in ikr.simlib.entities.branches

A branch element routes an incoming message randomly to one of its output ports.

BinaryBranch(double, SimNode, RandomNumberGenerator) - Constructor for class ikr.simlib.entities.branches.BinaryBranch

BinaryBranch(double, SimNode) - Constructor for class ikr.simlib.entities.branches.BinaryBranch

bind(I, double) - Method in class ikr.simlib.distributions.mapped.MappedGeneralDistribution

BinomialDistribution - Class in ikr.simlib.distributions.discrete

Binomial Distribution

Meaning: Probability for \(i\) successes in \(n\) Bernoulli trials with the parameter \(q(0 \le q \le 1)\)

Parameters: success probability \(q(0 < q \le 1\) number of trials \(n > 0\) Alternative: mean \(E[X] \ge 0\) and variance \(VAR[X] (0 \le VAR[X] \le E[X]\) parameters: \(q = 1- \frac{VAR[X]}{E[X]}\) \(n = \frac{(E[X])^2}{E[X] - VAR[X]}\) Distribution: \(P(X=i) = \binom{n}{i} \cdot q^i \cdot (1-q)^{n-i} \)

Expected value: \(E[X]= nq \)

Variance: \(VAR[X]= nq(1-q)\)

Coefficient of variation: \(c_T= \sqrt{ \frac{ 1-q }{nq} }\)

Generating func.: \(G(z)= (1-q+qz)^n \)

Parser example:


         [...].Distribution = ikr.simlib.distributions.discrete.BinomialDistribution
         

         [...].Distribution.Mean = 15.0
         

         [...].Distribution.Variance = 10.5

BinomialDistribution(double, double, RandomNumberGenerator) - Constructor for class ikr.simlib.distributions.discrete.BinomialDistribution

BinomialDistribution(double, double) - Constructor for class ikr.simlib.distributions.discrete.BinomialDistribution

BinomialDistribution(double, int, RandomNumberGenerator) - Constructor for class ikr.simlib.distributions.discrete.BinomialDistribution

BinomialDistribution(double, int) - Constructor for class ikr.simlib.distributions.discrete.BinomialDistribution

blockCoVSums - Variable in class ikr.simlib.untested.statistics.fairness.FairnessStatistic

blockFISums - Variable in class ikr.simlib.untested.statistics.fairness.FairnessStatistic

blockMeansSummations - Variable in class ikr.simlib.untested.statistics.variancetime.VTStatistic

BLOCKSIZE - Static variable in class ikr.simlib.result.ResultKeywords

blockSums - Variable in class ikr.simlib.untested.statistics.fairness.RateFairnessStatistic

blockSums - Variable in class ikr.simlib.untested.statistics.fairness.SampleFairnessStatistic

blockSums - Variable in class ikr.simlib.untested.statistics.variancetime.VTBurstLevelRateStatistic

blockSums - Variable in class ikr.simlib.untested.statistics.variancetime.VTRateStatistic

blockSums - Variable in class ikr.simlib.untested.statistics.variancetime.VTSampleStatistic

BoundaryStatistic - Class in ikr.simlib.statistics.boundary


   BoundaryStatistic

is an abstract base class derived from Statistic.

BoundaryStatistic(SimNode) - Constructor for class ikr.simlib.statistics.boundary.BoundaryStatistic

BoundedDistribution - Class in ikr.simlib.distributions.continuous.transform

Continuous Bounded Distribution

Meaning: Continuous distribution of a random varaible \(T\) that is bounded between a lower bound and an upper bound.

BoundedDistribution(ContinuousDistribution, double, double, boolean) - Constructor for class ikr.simlib.distributions.continuous.transform.BoundedDistribution

BoundedDistribution(ContinuousDistribution, double, double) - Constructor for class ikr.simlib.distributions.continuous.transform.BoundedDistribution

BoundedDistribution(ContinuousDistribution, double) - Constructor for class ikr.simlib.distributions.continuous.transform.BoundedDistribution

BoundedDistribution(ContinuousDistribution) - Constructor for class ikr.simlib.distributions.continuous.transform.BoundedDistribution

BoundedFIFOQDisc - Class in ikr.simlib.algorithms.queuingDisciplines

This class implements a bounded FIFO (First In First Out) queuing discipline, i.e., it has a finite buffer size.

BoundedFIFOQDisc(SimNode, int) - Constructor for class ikr.simlib.algorithms.queuingDisciplines.BoundedFIFOQDisc

BoundedFIFOQDisc(SimNode, Parameters) - Constructor for class ikr.simlib.algorithms.queuingDisciplines.BoundedFIFOQDisc

BoundedLIFOQDisc - Class in ikr.simlib.algorithms.queuingDisciplines

This class implements a bounded LIFO (Last In First Out) queuing discipline, i.e., it has a finite buffer size.

BoundedLIFOQDisc(SimNode, int) - Constructor for class ikr.simlib.algorithms.queuingDisciplines.BoundedLIFOQDisc

BoundedLIFOQDisc(SimNode, Parameters) - Constructor for class ikr.simlib.algorithms.queuingDisciplines.BoundedLIFOQDisc

BoundedQDisc - Interface in ikr.simlib.algorithms.queuingDisciplines

Branch - Class in ikr.simlib.entities.branches

A branch element routes an incoming message randomly to one of its output ports.

Branch(int, SimNode) - Constructor for class ikr.simlib.entities.branches.Branch

Branch(SimNode) - Constructor for class ikr.simlib.entities.branches.Branch

branchingProbability - Variable in class ikr.simlib.distributions.continuous.GeneralDistribution

branchProbs - Variable in class ikr.simlib.distributions.continuous.HyperExpDistribution

BUCKET - Static variable in class ikr.simlib.result.ResultKeywords

BUCKET_MEAN - Static variable in class ikr.simlib.result.ResultKeywords

BucketUtility - Class in ikr.simlib.statistics.support

BucketUtility is an abstract base class of different bucket utilities which relate a value provided to the GetBucket method to a bucket index.

BucketUtility(double, double, int) - Constructor for class ikr.simlib.statistics.support.BucketUtility

bufferStealing() - Method in class ikr.simlib.algorithms.queuingDisciplines.FairQueuing

Discard if necessary to obey the maximum size.

burstArrivalTime - Variable in class ikr.simlib.entities.generators.BurstGenerator.BurstData

BurstGenerator - Class in ikr.simlib.entities.generators

BurstGenerator generates bursts of information that are segmented in messages of max.

BurstGenerator(DiscreteDistribution, ContinuousDistribution, Duration, int, SimNode, Factory<Message>, boolean) - Constructor for class ikr.simlib.entities.generators.BurstGenerator

BurstGenerator(DiscreteDistribution, ContinuousDistribution, Duration, int, SimNode, Factory<Message>) - Constructor for class ikr.simlib.entities.generators.BurstGenerator

BurstGenerator(DiscreteDistribution, ContinuousDistribution, Duration, int, SimNode) - Constructor for class ikr.simlib.entities.generators.BurstGenerator

BurstGenerator(DiscreteDistribution, ContinuousDistribution, Duration, int, SimNode, boolean) - Constructor for class ikr.simlib.entities.generators.BurstGenerator

BurstGenerator.BurstData - Class in ikr.simlib.entities.generators

BurstGenerator.BurstData(PointInTime, int) - Constructor for class ikr.simlib.entities.generators.BurstGenerator.BurstData

burstIATDist - Variable in class ikr.simlib.distributions.continuous.statedep.OnOffInfinityDistribution

burstIATDist - Variable in class ikr.simlib.entities.generators.BurstGenerator

burstLengthDist - Variable in class ikr.simlib.distributions.continuous.statedep.OnOffInfinityDistribution

burstLengthDist - Variable in class ikr.simlib.entities.generators.BurstGenerator

burstList - Variable in class ikr.simlib.distributions.continuous.statedep.OnOffInfinityDistribution

BZip2CommandCompressionProvider - Class in ikr.simlib.support.compression

BZip2CommandCompressionProvider() - Constructor for class ikr.simlib.support.compression.BZip2CommandCompressionProvider

BZip2InputStream - Class in ikr.simlib.support.compression

BZip2InputStream(InputStream) - Constructor for class ikr.simlib.support.compression.BZip2InputStream

BZip2OutputStream - Class in ikr.simlib.support.compression

BZip2OutputStream(OutputStream) - Constructor for class ikr.simlib.support.compression.BZip2OutputStream

C

calculateSumOf(Collection<Duration>) - Static method in class ikr.simlib.events.time.Duration

Calendar - Class in ikr.simlib.events.calendar

Calendars are special event handlers derived from the abstract base class Calendar.

Calendar() - Constructor for class ikr.simlib.events.calendar.Calendar

CALENDAR - Static variable in class ikr.simlib.events.calendar.Calendar

reference to calendar

calendarCallback - Variable in class ikr.simlib.entities.phases.ClockedGate

CalendarCallback - Interface in ikr.simlib.events

calendarType - Variable in class ikr.simlib.control.SimulationEnvironment

CallbackInputPort - Class in ikr.simlib.ports.input

Convenience class to use instead of manually deriving from InputPort.

CallbackInputPort(Entity, String, CallbackInputPort.MessageIndicationHandler) - Constructor for class ikr.simlib.ports.input.CallbackInputPort

CallbackInputPort(Entity, CallbackInputPort.MessageIndicationHandler) - Constructor for class ikr.simlib.ports.input.CallbackInputPort

CallbackInputPort(Entity, String, CallbackInputPort.MessageIndicationHandlerMessage) - Constructor for class ikr.simlib.ports.input.CallbackInputPort

CallbackInputPort(Entity, CallbackInputPort.MessageIndicationHandlerMessage) - Constructor for class ikr.simlib.ports.input.CallbackInputPort

CallbackInputPort(Entity, String, CallbackInputPort.MessageIndicationHandlerNoArgs) - Constructor for class ikr.simlib.ports.input.CallbackInputPort

CallbackInputPort(Entity, CallbackInputPort.MessageIndicationHandlerNoArgs) - Constructor for class ikr.simlib.ports.input.CallbackInputPort

CallbackInputPort.MessageIndicationHandler - Interface in ikr.simlib.ports.input

callback interface with port and message arguments

CallbackInputPort.MessageIndicationHandlerMessage - Interface in ikr.simlib.ports.input

callback interface with message argument

CallbackInputPort.MessageIndicationHandlerNoArgs - Interface in ikr.simlib.ports.input

callback interface with no arguments

CallbackOutputPort - Class in ikr.simlib.ports.output

Convenience class to use instead of manually deriving from OutputPort .

CallbackOutputPort(Entity, String, CallbackOutputPort.GetMessagehandler, CallbackOutputPort.IsMessageAvailableHandler) - Constructor for class ikr.simlib.ports.output.CallbackOutputPort

CallbackOutputPort(Entity, CallbackOutputPort.GetMessagehandler, CallbackOutputPort.IsMessageAvailableHandler) - Constructor for class ikr.simlib.ports.output.CallbackOutputPort

CallbackOutputPort.GetMessagehandler - Interface in ikr.simlib.ports.output

CallbackOutputPort.IsMessageAvailableHandler - Interface in ikr.simlib.ports.output

cancel() - Method in class ikr.simlib.events.calendar.SimpleOrderedCalendar.Entry

cancel() - Method in interface ikr.simlib.events.EventToken

Cancel the event, i.e.

cancelAllEvents() - Method in class ikr.simlib.events.calendar.Calendar

Cancel all events which are currently posted.

cancelAllEvents() - Method in class ikr.simlib.events.calendar.OrderedTreeSetCalendar

cancelAllEvents() - Method in class ikr.simlib.events.calendar.SimpleOrderedCalendar

cancels all events

cancelAllEvents() - Method in class ikr.simlib.events.calendar.StdOrderedCalendar

CDIST - Static variable in class ikr.simlib.result.ResultKeywords

Complementary distribution.

CDVMeter - Class in ikr.simlib.meters.cdv

An CDV meter can be attached to a port to measure one point CDV (cell delay variation).

CDVMeter(UnweightedSampleCollector<Duration>, double) - Constructor for class ikr.simlib.meters.cdv.CDVMeter

CeiledDistribution - Class in ikr.simlib.distributions.discrete.transform

Ceiled Distribution

Meaning: The "ceiled distribution" is a discrete distribution that converts the value obtained from a continuous ("base") distribution to an integer value using the


         ceil()

function from the Java


         Math

package.

CeiledDistribution(ContinuousDistribution) - Constructor for class ikr.simlib.distributions.discrete.transform.CeiledDistribution

changeTimeBase(TimeUnits) - Static method in class ikr.simlib.events.time.TimeBase

This method allows to change the time-base before the first time object has been created.

changeTimeBase(double, String) - Static method in class ikr.simlib.events.time.TimeBase

This method allows to change the time-base before the first time object has been created.

check() - Method in class ikr.simlib.control.simulationcontrol.ControlCounter

CINT - Static variable in class ikr.simlib.result.ResultKeywords

Confidence interval.

classWidth - Variable in class ikr.simlib.statistics.distribution.StdDistributionStatistic

clear() - Method in class ikr.simlib.untested.statistics.boundary.SortedSamples

ClockedGate - Class in ikr.simlib.entities.phases

A clocked gate is a standard component that can be used to gate messages.

ClockedGate(Duration, SimNode) - Constructor for class ikr.simlib.entities.phases.ClockedGate

close() - Method in class ikr.simlib.result.compacting.CompactingResultWriter

close() - Method in class ikr.simlib.result.filtering.PrintResultFilterWriter

close() - Method in interface ikr.simlib.result.ResultReader

Closes the reader and underlying streams.

close() - Method in interface ikr.simlib.result.ResultWriter

Closes the writer and underlying streams.

close() - Method in class ikr.simlib.result.xml.XMLResultReader

close() - Method in class ikr.simlib.result.xml.XMLResultWriter

close() - Method in class ikr.simlib.statistics.distribution.trace.data.TraceReader

close() - Method in class ikr.simlib.statistics.distribution.trace.data.TraceWriter

close() - Method in class ikr.simlib.support.DelayedOutputStream

CLOSING_ARRAY_BRACKET - Static variable in class ikr.simlib.parameters.fileparser.FileParser

COEFF - Static variable in class ikr.simlib.result.ResultKeywords

Coefficient.

COEFF_CINT - Static variable in class ikr.simlib.result.ResultKeywords

coeffMeasures - Variable in class ikr.simlib.untested.statistics.correlation.ExactAutoCorrelationStatistic

coeffMeasures - Variable in class ikr.simlib.untested.statistics.correlation.StdAutoCorrelationStatistic

coeffMeasures - Variable in class ikr.simlib.untested.statistics.correlation.StdCorrelationStatistic

combine(UnweightedSampleCollector<? super Value>...) - Static method in class ikr.simlib.statistics.Statistics

combines multiple UnweightedSampleCollector instances.

combine(WeightedSampleCollector<? super Value, ? super Weight>...) - Static method in class ikr.simlib.statistics.Statistics

combines multiple WeightedSampleCollector instances.

combine(ConditionalUnweightedStatistic<? super Key, ? super Value>...) - Static method in class ikr.simlib.statistics.Statistics

combines multiple ConditionalUnweightedStatistic instances.

combine(ConditionalWeightedStatistic<? super Key, ? super Value, ? super Weight>...) - Static method in class ikr.simlib.statistics.Statistics

combines multiple ConditionalWeightedStatistic instances.

combineCondUnweighted(Collection<ConditionalUnweightedStatistic<? super Key, ? super Value>>) - Static method in class ikr.simlib.statistics.Statistics

combines multiple ConditionalUnweightedStatistic instances.

combineCondWeighted(Collection<ConditionalWeightedStatistic<? super Key, ? super Value, ? super Weight>>) - Static method in class ikr.simlib.statistics.Statistics

combines multiple ConditionalWeightedStatistic instances.

CombinedDistributionData - Class in ikr.simlib.statistics.distribution.trace.dist

CombinedDistributionData(QuantileDescription, List<DataSource>) - Constructor for class ikr.simlib.statistics.distribution.trace.dist.CombinedDistributionData

assumes that the trace files are sorted

combineSorted(List<DataSource>) - Method in interface ikr.simlib.statistics.distribution.trace.data.DataSource

combineSorted(List<DataSource>) - Method in class ikr.simlib.statistics.distribution.trace.data.ListDataSource

combineSorted(List<DataSource>) - Method in class ikr.simlib.statistics.distribution.trace.data.TraceDataSource

Merge multiple sorted files to a temporary sorted file.

combineUnweighted(Collection<UnweightedSampleCollector<? super Value>>) - Static method in class ikr.simlib.statistics.Statistics

combines multiple UnweightedSampleCollector instances.

combineWeighted(Collection<WeightedSampleCollector<? super Value, ? super Weight>>) - Static method in class ikr.simlib.statistics.Statistics

combines multiple WeightedSampleCollector instances.

COMMAND - Static variable in class ikr.simlib.support.compression.LZMAInputStream

CommandFilterStreams - Class in ikr.simlib.support.compression

CommandFilterStreams() - Constructor for class ikr.simlib.support.compression.CommandFilterStreams

COMMENT - Static variable in class ikr.simlib.parameters.fileparser.FileParser

CompactingResultWriter - Class in ikr.simlib.result.compacting

This class is a wrapper to the ResultWriter interface.

CompactingResultWriter(ResultWriter) - Constructor for class ikr.simlib.result.compacting.CompactingResultWriter

compareTo(Object) - Method in class ikr.simlib.algorithms.queuingDisciplines.FairQueuing.SortableQDiscContainer

compareTo(BurstGenerator.BurstData) - Method in class ikr.simlib.entities.generators.BurstGenerator.BurstData

compareTo(SimpleOrderedCalendar.Entry) - Method in class ikr.simlib.events.calendar.SimpleOrderedCalendar.Entry

compareTo(Duration) - Method in class ikr.simlib.events.time.Duration

compareTo(PointInTime) - Method in class ikr.simlib.events.time.PointInTime

compareTo(Sample) - Method in class ikr.simlib.statistics.distribution.trace.data.Sample

CompressionManager - Class in ikr.simlib.support.compression

This class provides static methods to open compressed files for reading create and open compressed files for writing determining the filename suffix for a given compression type

CompressionManager() - Constructor for class ikr.simlib.support.compression.CompressionManager

CompressionProvider - Interface in ikr.simlib.support.compression

compressionType - Variable in class ikr.simlib.control.SimulationEnvironment

CompressionType - Enum in ikr.simlib.support.compression

computeCurrentConfidenceLevel(double, long) - Method in class ikr.simlib.statistics.confidenceinterval.StudentCalc

computeMeasures(int) - Method in class ikr.simlib.statistics.batchsum.StdBatchSumStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.boundary.JainBoundaryStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.boundary.StdBoundaryStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.distribution.StdDistributionStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.distribution.trace.DistributionStatisticBase

computeMeasures(int) - Method in class ikr.simlib.statistics.integral.StdIntegralStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.median.StdMedianStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.probability.StdProbabilityStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.rate.StdRateStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.sample.MeanStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.sample.StdSampleStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.Statistic

computeMeasures(int) - Method in class ikr.simlib.statistics.weighted.WeightedDistStatistic

computeMeasures(int) - Method in class ikr.simlib.statistics.weighted.WeightedMeanStatistic

computeMeasures(int) - Method in class ikr.simlib.untested.statistics.boundary.UnlimitedUnbatchedBoundaryStatistic

computeMeasures(int) - Method in class ikr.simlib.untested.statistics.correlation.ExactAutoCorrelationStatistic

computeMeasures(int) - Method in class ikr.simlib.untested.statistics.correlation.StdAutoCorrelationStatistic

computeMeasures(int) - Method in class ikr.simlib.untested.statistics.correlation.StdCorrelationStatistic

computeMeasures(int) - Method in class ikr.simlib.untested.statistics.fairness.FairnessStatistic

computeMeasures(int) - Method in class ikr.simlib.untested.statistics.variancetime.VTStatistic

computeMedian() - Method in class ikr.simlib.statistics.median.StdMedianStatistic

Returns the value for the median calculated from fSamples.

computeStudentUValue(double, long) - Method in class ikr.simlib.statistics.confidenceinterval.StudentCalc

concurrentEvents - Variable in class ikr.simlib.events.calendar.Calendar

counter to count the number of events with exact same time stamp

ConditionalStatisticBase<K,S extends ResultTaggable> - Class in ikr.simlib.statistics.conditional

Base class for conditional statistics.

ConditionalStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, Iterable<? extends K>, ConditionalStatisticBase.StatisticTagger<? super K, ? super S>) - Constructor for class ikr.simlib.statistics.conditional.ConditionalStatisticBase

for enumerable keys

ConditionalStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, BucketUtility) - Constructor for class ikr.simlib.statistics.conditional.ConditionalStatisticBase

for doubles (lin or log spaced mapping)

ConditionalStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, int) - Constructor for class ikr.simlib.statistics.conditional.ConditionalStatisticBase

for integers (0..numBuckets-1)

ConditionalStatisticBase.StatisticCreator<S extends ResultTaggable> - Interface in ikr.simlib.statistics.conditional

ConditionalStatisticBase.StatisticTagger<K,S extends ResultTaggable> - Interface in ikr.simlib.statistics.conditional

ConditionalStatisticBase.ToIndexMapper<K> - Interface in ikr.simlib.statistics.conditional

ConditionalStdProbabilityStatistic<K> - Class in ikr.simlib.statistics.conditional.implementations

ConditionalStdProbabilityStatistic(SimNode, Class<K>, BucketUtility) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdProbabilityStatistic

ConditionalStdProbabilityStatistic(SimNode, Class<K>, int) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdProbabilityStatistic

ConditionalStdProbabilityStatistic(SimNode, Class<K>, Iterable<? extends K>, ConditionalStatisticBase.StatisticTagger<? super K, ? super StdProbabilityStatistic>) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdProbabilityStatistic

ConditionalStdProbabilityStatistic(SimNode, Class<K>, Iterable<? extends K>) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdProbabilityStatistic

ConditionalStdSampleStatistic<K> - Class in ikr.simlib.statistics.conditional.implementations

ConditionalStdSampleStatistic(SimNode, Class<K>, BucketUtility) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdSampleStatistic

ConditionalStdSampleStatistic(SimNode, Class<K>, int) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdSampleStatistic

ConditionalStdSampleStatistic(SimNode, Class<K>, Iterable<? extends K>, ConditionalStatisticBase.StatisticTagger<? super K, ? super StdSampleStatistic>) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdSampleStatistic

ConditionalStdSampleStatistic(SimNode, Class<K>, Iterable<? extends K>) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalStdSampleStatistic

ConditionalUnweightedStatistic<K,V> - Interface in ikr.simlib.statistics.conditional

ConditionalUnweightedStatisticBase<K,V,S extends ResultTaggable & UnweightedSampleCollector<V>> - Class in ikr.simlib.statistics.conditional

ConditionalUnweightedStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, BucketUtility) - Constructor for class ikr.simlib.statistics.conditional.ConditionalUnweightedStatisticBase

ConditionalUnweightedStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, int) - Constructor for class ikr.simlib.statistics.conditional.ConditionalUnweightedStatisticBase

ConditionalUnweightedStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, Iterable<? extends K>, ConditionalStatisticBase.StatisticTagger<? super K, ? super S>) - Constructor for class ikr.simlib.statistics.conditional.ConditionalUnweightedStatisticBase

ConditionalWeightedMeanStatistic<K> - Class in ikr.simlib.statistics.conditional.implementations

ConditionalWeightedMeanStatistic(SimNode, Class<K>, BucketUtility) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalWeightedMeanStatistic

ConditionalWeightedMeanStatistic(SimNode, Class<K>, int) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalWeightedMeanStatistic

ConditionalWeightedMeanStatistic(SimNode, Class<K>, Iterable<? extends K>, ConditionalStatisticBase.StatisticTagger<? super K, ? super WeightedMeanStatistic>) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalWeightedMeanStatistic

ConditionalWeightedMeanStatistic(SimNode, Class<K>, Iterable<? extends K>) - Constructor for class ikr.simlib.statistics.conditional.implementations.ConditionalWeightedMeanStatistic

ConditionalWeightedStatistic<K,V,W> - Interface in ikr.simlib.statistics.conditional

ConditionalWeightedStatisticBase<K,V,W,S extends ResultTaggable & WeightedSampleCollector<V,W>> - Class in ikr.simlib.statistics.conditional

ConditionalWeightedStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, BucketUtility) - Constructor for class ikr.simlib.statistics.conditional.ConditionalWeightedStatisticBase

ConditionalWeightedStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, int) - Constructor for class ikr.simlib.statistics.conditional.ConditionalWeightedStatisticBase

ConditionalWeightedStatisticBase(SimNode, Class<K>, ConditionalStatisticBase.StatisticCreator<? extends S>, Iterable<? extends K>, ConditionalStatisticBase.StatisticTagger<? super K, ? super S>) - Constructor for class ikr.simlib.statistics.conditional.ConditionalWeightedStatisticBase

CondMeanStatistic - Class in ikr.simlib.statistics.sample

CondProbabilityStatistic - Class in ikr.simlib.statistics.probability

ConfidenceIntervalEstimator - Interface in ikr.simlib.statistics.confidenceinterval

StatisticEstimation is an interface for different estimation strategies.

ConfidenceIntervalEstimatorManager - Class in ikr.simlib.statistics.confidenceinterval

connect(String, Entity, String) - Method in class ikr.simlib.entities.Entity

connect(InputPort) - Method in class ikr.simlib.ports.output.OutputPort

constantA - Variable in class ikr.simlib.distributions.continuous.statedep.VideoSourceDistribution

e.g.

constantB - Variable in class ikr.simlib.distributions.continuous.statedep.VideoSourceDistribution

e.g.

ConstantDistribution - Class in ikr.simlib.distributions.continuous

Deterministic Value

Meaning: A constant value \(d\) is returned

Parameters: constant ("mean") value \(d\)

PDF: \(P(T=t) = f(t) = \delta(t-d) \)

DF: \(P(T \le t) = F(t) = \sigma(t-d) = \begin{cases} 0 &\mbox{for } t < d \\ 1 & \mbox{else } \end{cases} \)

Expected value: \(E[T]= d \)

Variance: \(VAR[T]= 0\)

Coefficient of variation: \(c_T= 0\)

LST: \(\phi(s) = exp(-sd)\)

Parser example:


         [...].Distribution = ikr.simlib.distributions.continuous.ConstantDistribution
         

         [...].Distribution.Mean = 1.7

ConstantDistribution(double) - Constructor for class ikr.simlib.distributions.continuous.ConstantDistribution

ConstantDistribution(SimNode, Parameters) - Constructor for class ikr.simlib.distributions.continuous.ConstantDistribution

ContinuousDistribution - Class in ikr.simlib.distributions.continuous

ContinuousDistributions are distributions that return floating point values.

ContinuousDistribution() - Constructor for class ikr.simlib.distributions.continuous.ContinuousDistribution

ContinuousDistribution(RandomNumberGenerator) - Constructor for class ikr.simlib.distributions.continuous.ContinuousDistribution

ControlCounter - Class in ikr.simlib.control.simulationcontrol

ControlCounter can be used to count any sort of event by calling the method Count().

ControlCounter(int, int) - Constructor for class ikr.simlib.control.simulationcontrol.ControlCounter

ControlCounter.State - Enum in ikr.simlib.control.simulationcontrol

ControlCountMeter - Class in ikr.simlib.meters.count

The previous implementation has been replaced with two helper methods, which instanciate a MessageCountMeter and a ControlCounter.

ControlCountMeter() - Constructor for class ikr.simlib.meters.count.ControlCountMeter

ControlTimer - Class in ikr.simlib.control.simulationcontrol

ControlTimer is an class which is able to look upon the system time and calls the EndOfTransientPhase EndOfBatch

ControlTimer(Duration, Duration) - Constructor for class ikr.simlib.control.simulationcontrol.ControlTimer

ContStateGMPPDistribution - Class in ikr.simlib.distributions.continuous.statedep

Continuous-State GMPP

Meaning: Modeling of sources where the state space is continuous.

Description: State machine with continuous (infinite) state space:
length of a state according to a continuous distribution rate \(r\) in a state according to a continuous distribution Poisson process with rate \(r\) within a state

Parameters: continuous distribution of the length of a phase continuous distribution of the rate in a phase

Characteristic values: Moments and distribution of the arrival intervals

Parser example:


         [...].distribution = ikr.simlib.distributions.continuous.statedep.ContStateGMPPDistribution
         

         [...].distribution.PhaseLengthDist = NegExp
         

         [...].distribution.PhaseLengthDist.Mean = 2.3
         

         [...].distribution.RateDist = Uniform
         

         [...].distribution.RateDist.LowerBound = 1.5
         

         [...].distribution.RateDist.UpperBound = 3.5

References: T.

ContStateGMPPDistribution(ContinuousDistribution, ContinuousDistribution, RandomNumberGenerator) - Constructor for class ikr.simlib.distributions.continuous.statedep.ContStateGMPPDistribution

ContStateGMPPDistribution(ContinuousDistribution, ContinuousDistribution) - Constructor for class ikr.simlib.distributions.continuous.statedep.ContStateGMPPDistribution

CorrelationStatistic - Class in ikr.simlib.untested.statistics.correlation

CorrelationStatistic is an abstract base class for a cross correlation statistic.

CorrelationStatistic(SimNode) - Constructor for class ikr.simlib.untested.statistics.correlation.CorrelationStatistic

count - Variable in class ikr.simlib.control.simulationcontrol.ControlCounter

count() - Method in class ikr.simlib.control.simulationcontrol.ControlCounter

CountAggregatingStatistic<T,V> - Class in ikr.simlib.statistics.aggregating

CountAggregatingStatistic aggregates a fixed number n of values with the help of an Aggregator.

CountAggregatingStatistic(UnweightedSampleCollector<V>, int, Aggregator<? super T, ? extends V>) - Constructor for class ikr.simlib.statistics.aggregating.CountAggregatingStatistic

COV - Static variable in class ikr.simlib.result.ResultKeywords

Coefficient of variation.

COV_CINT - Static variable in class ikr.simlib.result.ResultKeywords

COV_LIST - Static variable in class ikr.simlib.result.ResultKeywords

COV_MEAN - Static variable in class ikr.simlib.result.ResultKeywords

covarianceMeasures - Variable in class ikr.simlib.untested.statistics.correlation.ExactAutoCorrelationStatistic

covarianceMeasures - Variable in class ikr.simlib.untested.statistics.correlation.StdAutoCorrelationStatistic

covarianceMeasures - Variable in class ikr.simlib.untested.statistics.correlation.StdCorrelationStatistic

covBatchMeans - Variable in class ikr.simlib.untested.statistics.fairness.FairnessStatistic

CoxianDistribution - Class in ikr.simlib.distributions.continuous

Coxian Phase Model

Meaning: Distribution according to the Coxian phase model: Serial switching of a selection of one of \(k\) phases each with a negative-exponentially distributed phase duration period (parameter \(\lambda_i\)), whereby after each phase the system is exited with the probability \(q_i\).

CoxianDistribution(double[], double[], RandomNumberGenerator) - Constructor for class ikr.simlib.distributions.continuous.CoxianDistribution

CoxianDistribution(double[], double[]) - Constructor for class ikr.simlib.distributions.continuous.CoxianDistribution

create() - Method in interface ikr.simlib.factories.Factory

create() - Method in class ikr.simlib.messages.factories.FlexIPMessageFactory

create() - Method in class ikr.simlib.messages.factories.IPPacketFactory

create() - Method in class ikr.simlib.messages.factories.LabelMessageFactory

create() - Method in class ikr.simlib.messages.factories.MessageFactory

create() - Method in class ikr.simlib.messages.factories.UniqueIdIPMessageFactory

create(int, int) - Static method in class ikr.simlib.meters.count.ControlCountMeter

Helper method to create something which resembles the ControlCountMeter, which was included in previous versions of this library.

create(Duration, UnweightedSampleCollector<Double>) - Static method in class ikr.simlib.meters.rate.IntervalRateMeter

Helper method to create something which resembles the ShortTermRateMeter, which was included in previous versions of this library.

create(SimNode, BucketUtility) - Static method in class ikr.simlib.statistics.probability.CondProbabilityStatistic

Convenience method which creates something that closely resembles an object of class CondProbabilityStatistic as present in previous versions of this library.

create(SimNode, double, double, int) - Static method in class ikr.simlib.statistics.probability.CondProbabilityStatistic

create(SimNode, BucketUtility) - Static method in class ikr.simlib.statistics.sample.CondMeanStatistic

Convenience method which creates something that closely resembles an object of class CondMeanStatistic as present in previous versions of this library.

create(SimNode, double, double, int) - Static method in class ikr.simlib.statistics.sample.CondMeanStatistic

CREATE_INSTANCE_METHOD_NAME - Static variable in interface ikr.simlib.parameters.reflection.ReflectionConstructable

createBoundedFIFOQueue(SimNode, int) - Static method in class ikr.simlib.entities.queues.QueuingEntity

createBoundedFIFOQueue(SimNode, Parameters) - Static method in class ikr.simlib.entities.queues.QueuingEntity

createBoundedLIFOQueue(SimNode, int) - Static method in class ikr.simlib.entities.queues.QueuingEntity

createBoundedLIFOQueue(SimNode, Parameters) - Static method in class ikr.simlib.entities.queues.QueuingEntity

createCalendar(String) - Method in class ikr.simlib.control.SimTreeApplication

Creates the calendar for the simulation.

createChildNode(String) - Method in interface ikr.simlib.model.SimNode

createChildNode(String) - Method in class ikr.simlib.model.StdSimNode

Creates and returns a child node with name n

createFilterCommandInputStream(String[], InputStream) - Static method in class ikr.simlib.support.compression.CommandFilterStreams

createFilterCommandOutputStream(String[], OutputStream) - Static method in class ikr.simlib.support.compression.CommandFilterStreams

createImportSimulation() - Method in class ikr.simlib.control.SimTreeApplication

Creates the import simulation.

createInstance(SimNode, Parameters) - Static method in class ikr.simlib.algorithms.queuingDisciplines.BoundedFIFOQDisc