Package jline.solvers.ssa

Class SolverSSA

java.lang.Object

jline.solvers.Solver

jline.solvers.NetworkSolver

jline.solvers.ssa.SolverSSA

Direct Known Subclasses:

SSA

public class SolverSSA
extends NetworkSolver

Nested Class Summary

Nested classes/interfaces inherited from class jline.solvers.NetworkSolver

NetworkSolver.SolverConfigurator

Field Summary

Fields

Modifier and Type	Field	Description
EventCache	eventCache
int	numThreads
ExecutorService	threadPool

Fields inherited from class jline.solvers.NetworkSolver

avgHandles, lastPerctMethod, lastPermEngine, model, sn, tranHandles

Fields inherited from class jline.solvers.Solver

enableChecks, name, options, random, result

Constructor Summary

Constructors

Constructor	Description
SolverSSA(Network model)
SolverSSA(Network model, Object... args)
SolverSSA(Network model, String method)
SolverSSA(Network model, NetworkSolver initSolver, Object... args)	Creates a new SolverSSA that warm-starts the simulated trajectory from the steady-state solution of an auxiliary solver (see NetworkSolver.initFromSolver(jline.solvers.NetworkSolver)).
SolverSSA(Network model, SolverOptions options)

Method Summary

Modifier and Type	Method	Description
static SolverOptions	defaultOptions()	Returns the default solver options for the SSA solver.
Ret.DistributionResult	getCdfRespT()	Not available: SolverSSA does not record per-job response times.
Ret.DistributionResult	getCdfRespT(AvgHandle R)	Returns cumulative distribution functions of response times at steady-state.
EventCache	getEventCache()
static FeatureSet	getFeatureSet()	Returns the feature set supported by the SSA solver
int	getNumThreads()
Matrix	getPreemptRate()	(stations x classes) rate at which a class-r job HOLDING A SERVER at station i is pushed back into the buffer.
Ret.ProbabilityResult	getProb(int node, Matrix state)	Get marginal probability for a specific node state (by node index).
double	getProb(Node node)	Get probability for a specific node state using the node's default state
double	getProb(Node node, Matrix state)	Get probability for a specific node state
Ret.ProbabilityResult	getProbAggr(int node, Matrix state)	Aggregated probability for a node state, addressed by NODE INDEX.
double	getProbAggr(Node node)	Get aggregated probability for a specific node state using the node's default state
double	getProbAggr(Node node, Matrix state)	Get aggregated probability for a specific node state
Ret.ProbabilityResult	getProbSys()	Get system-wide probability for the current system state
Ret.ProbabilityResult	getProbSysAggr()	Get aggregated system-wide probability for the current system state
Matrix	getStartRate()	(stations x classes) rate at which a class-r job BEGINS or RESUMES holding a server at station i, estimated over the simulated path exactly as the throughput is.
Collector	getStreamingCollector()	Get the active streaming collector (for use by Solver_ssa.kt).
NetworkStruct	getStruct()
ExecutorService	getThreadPool()
boolean	isStochasticMethod(String method)	All SSA methods are stochastic simulation.
List<String>	listValidMethods()
List<String>	listValidMethods(Network model)
static Map<String,Object>	planRunLength(SolverOptions options, Matrix means, Matrix ciHalfWidth, double samplesUsed)	The run length the caller would need for the precision they asked for.
void	runAnalyzer()	Executes the solver algorithm to analyze the model.
SampleNodeState	sample(Node node)	Sample node state evolution using SSA simulation using default sample count
SampleNodeState	sample(Node node, int numEvents)	Sample node state evolution using SSA simulation
SampleNodeState	sample(Node node, Integer numEvents, boolean markActivePassive)	Sample node state evolution using SSA simulation
SampleNodeState	sampleAggr(Node node)	Sample aggregated node state evolution using SSA simulation using default sample count
SampleNodeState	sampleAggr(Node node, int numEvents)	Sample aggregated node state evolution using SSA simulation
SampleNodeState	sampleAggr(Node node, Integer numEvents, boolean markActivePassive)	Sample aggregated node state evolution using SSA simulation
SampleSysState	sampleSys()	Sample system-wide state evolution using SSA simulation using default sample count
Ret.SampleResult	sampleSys(int numEvents)	Sample system-wide state evolution using SSA simulation
SampleSysState	sampleSysAggr()	Sample aggregated system-wide state evolution using SSA simulation using default sample count
Ret.SampleResult	sampleSysAggr(int numEvents)	Sample aggregated system-wide state evolution using SSA simulation
void	setEventCache(EventCache eventCache)
void	setNumThreads(int numThreads)
void	setParallelism(int numThreads)
void	setThreadPool(ExecutorService threadPool)
SampleNodeState	stream(Node node, Integer numEvents, StreamingOptions streamingOptions)	Sample node state with real-time streaming to OTLP receiver.
SampleNodeState	stream(Node node, StreamingOptions streamingOptions)	Sample node state with real-time streaming to OTLP receiver.
SampleNodeState	streamAggr(Node node, Integer numEvents, StreamingOptions streamingOptions)	Sample aggregated node state with real-time streaming to OTLP receiver.
SampleNodeState	streamAggr(Node node, StreamingOptions streamingOptions)	Sample aggregated node state with real-time streaming to OTLP receiver.
boolean	supports(Network model)	Checks if this solver supports the given network model.
String	supportsModelMethod(String method)	The fork-join model class, which EVERY SSA method has to clear.

Methods inherited from class jline.solvers.NetworkSolver

aCaT, aCT, aCT, aCT, aCT, aCT, aCT, aIT, aLT, aNCT, aNCT, aNCT, aNCT, aNCT, aNCT, aNT, aNT, aNT, aNT, aNT, aNT, aOT, aRLT, aST, aST, aST, aT, aT, aT, aT, aT, aT, avg, avg, avg, avgArvR, avgArvRChain, avgArvRHandles, avgChain, avgChainT, avgChainT, avgChainT, avgChainT, avgChainT, avgChainT, avgChainTable, avgChainTable, avgChainTable, avgChainTable, avgChainTable, avgChainTable, avgHandles, avgNode, avgNodeArvRChain, avgNodeChain, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainT, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeChainTable, avgNodeQLenChain, avgNodeResidTChain, avgNodeRespTChain, avgNodeT, avgNodeT, avgNodeT, avgNodeT, avgNodeT, avgNodeT, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTable, avgNodeTputChain, avgNodeUtilChain, avgQLen, avgQLenChain, avgQLenHandles, avgResidT, avgResidTChain, avgResidTHandles, avgRespT, avgRespTChain, avgRespTHandles, avgSys, avgSysRespT, avgSysT, avgSysT, avgSysT, avgSysTable, avgSysTable, avgSysTable, avgSysTput, avgT, avgT, avgT, avgT, avgT, avgT, avgTable, avgTable, avgTable, avgTable, avgTable, avgTable, avgTput, avgTputChain, avgTputHandles, avgUtil, avgUtilChain, avgUtilHandles, avgWaitT, bindingCapacityReason, cacheAvgT, cdfPassT, cdfPassT, cdfRespT, cdfRespT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, checkDeclaredMethod, citations, declaredAllMethods, declaredAllMethods, declaredValidMethods, declaredValidMethods, getAllSolvers, getAvg, getAvg, getAvg, getAvgArvR, getAvgArvRChain, getAvgArvRHandles, getAvgCacheT, getAvgCacheTable, getAvgCacheTableImpl, getAvgChain, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTableImpl, getAvgChainTableImpl, getAvgHandles, getAvgItemT, getAvgItemTable, getAvgItemTableImpl, getAvgLossT, getAvgLossTable, getAvgNode, getAvgNodeArvRChain, getAvgNodeChain, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTableImpl, getAvgNodeChainTableImpl, getAvgNodeQLenChain, getAvgNodeResidTChain, getAvgNodeRespTChain, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTableImpl, getAvgNodeTableImpl, getAvgNodeTputChain, getAvgNodeUtilChain, getAvgOrbit, getAvgOrbitT, getAvgOrbitTable, getAvgOrbitTableImpl, getAvgQLen, getAvgQLenChain, getAvgQLenHandles, getAvgRegionLossT, getAvgRegionLossTable, getAvgResidT, getAvgResidTChain, getAvgResidTHandles, getAvgRespT, getAvgRespTChain, getAvgRespTHandles, getAvgSys, getAvgSys, getAvgSys, getAvgSysRespT, getAvgSysTable, getAvgSysTable, getAvgSysTable, getAvgSysTableImpl, getAvgSysTput, getAvgT, getAvgT, getAvgT, getAvgT, getAvgT, getAvgT, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTableImpl, getAvgTableImpl, getAvgTput, getAvgTputChain, getAvgTputHandles, getAvgUtil, getAvgUtilChain, getAvgUtilHandles, getAvgWaitT, getCdfPassT, getCdfPassT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getDeadlineTable, getLibrariesUsed, getModel, getMomentChainT, getMomentChainT, getMomentChainT, getMomentChainTable, getMomentChainTable, getMomentChainTable, getMomentStationT, getMomentStationT, getMomentStationT, getMomentStationTable, getMomentStationTable, getMomentStationTable, getMomentT, getMomentT, getMomentT, getMomentTable, getMomentTable, getMomentTable, getMomentTable, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getPerctRespT, getProb, getProbAggr, getProbMarg, getProbMarg, getProbNormConstAggr, getProbSysMarg, getProbSysMarg, getSensitivityT, getSensitivityT, getSensitivityTable, getSensitivityTable, getStageT, getStageT, getStageTable, getStageTable, getSysAvgT, getSysAvgT, getSysAvgT, getTranAvg, getTranCdfPassT, getTranCdfPassT, getTranCdfRespT, getTranCdfRespT, getTranHandles, hasAvgResults, hasBoundedBuffer, hasDistribResults, hasReneging, hasTranResults, initFromSolver, initHandles, itemAvgT, libraries, lossAvgT, mapEnvApprox, mCT, mCT, mCT, model, momentChainT, momentChainT, momentChainT, momentStationT, momentStationT, momentStationT, momentT, momentT, momentT, mST, mST, mST, mT, mT, mT, needsMapEnv, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, options, orbitAvgT, print, prob, prob, probAggr, probAggr, probMarg, probMarg, probNormConstAggr, probSys, probSysAggr, regionLossAvgT, runAnalyzerChecks, sample, sampleAggr, sensitivityT, sensitivityT, setAvgHandles, setAvgResults, setDistribResults, setLang, setModel, setTranAvgResults, setTranHandles, setTranProb, showLibraryAttribution, sT, sT, stageT, stageTable, supportsExactSensitivity, sysAvgT, sysAvgT, sysAvgT, tranAvg, tranCdfPassT, tranCdfPassT, tranCdfRespT, tranCdfRespT, tranHandles, unsupportedMethodReason

Methods inherited from class jline.solvers.Solver

getMethodFeatureSet, getName, getOptions, getResults, hasResults, isJavaAvailable, isStochastic, isValidOption, listValidOptions, parseOptions, parseOptions, reset, resetRandomGeneratorSeed, resolveMethod, selectMethod, setChecks, setOptions, supportsTransientAnalysis, timeExceeded

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

threadPool

public ExecutorService threadPool

numThreads

public int numThreads

eventCache

public EventCache eventCache

Constructor Details

SolverSSA

public SolverSSA(Network model)

SolverSSA

public SolverSSA(Network model,
 Object... args)

SolverSSA

public SolverSSA(Network model,
 NetworkSolver initSolver,
 Object... args)

Creates a new SolverSSA that warm-starts the simulated trajectory from the steady-state solution of an auxiliary solver (see NetworkSolver.initFromSolver(jline.solvers.NetworkSolver)).

Parameters:

model - The network model to analyze

initSolver - auxiliary solver used to compute the steady-state distribution

args - Variable arguments for solver options

SolverSSA

public SolverSSA(Network model,
 String method)

SolverSSA

public SolverSSA(Network model,
 SolverOptions options)

Method Details

getFeatureSet

public static FeatureSet getFeatureSet()

Returns the feature set supported by the SSA solver

Returns:

- the feature set supported by the SSA solver

getEventCache

public EventCache getEventCache()

setEventCache

public void setEventCache(EventCache eventCache)

getNumThreads

public int getNumThreads()

setNumThreads

public void setNumThreads(int numThreads)

getStruct

public NetworkStruct getStruct()

getThreadPool

public ExecutorService getThreadPool()

setThreadPool

public void setThreadPool(ExecutorService threadPool)

listValidMethods

public List<String> listValidMethods()

listValidMethods

public List<String> listValidMethods(Network model)

runAnalyzer

public void runAnalyzer()
                 throws IllegalAccessException,
ParserConfigurationException,
IOException

Description copied from class: Solver

Executes the solver algorithm to analyze the model. This abstract method must be implemented by concrete solver classes.

Specified by:

runAnalyzer in class Solver

Throws:

IllegalAccessException - if access to required resources is denied

ParserConfigurationException - if XML parsing configuration fails

IOException - if I/O operations fail

getStartRate

public Matrix getStartRate()

(stations x classes) rate at which a class-r job BEGINS or RESUMES holding a server at station i, estimated over the simulated path exactly as the throughput is.

At a lossless station with no in-service abandonment getStartRate == getAvgTput + getPreemptRate up to simulation error; the CTMC accessor of the same name reports the exact value.

getPreemptRate

public Matrix getPreemptRate()

(stations x classes) rate at which a class-r job HOLDING A SERVER at station i is pushed back into the buffer. Zero at a non-preemptive station.

setParallelism

public void setParallelism(int numThreads)

supports

public boolean supports(Network model)

Description copied from class: Solver

Checks if this solver supports the given network model. Default implementation returns true; subclasses should override to provide specific feature validation.

Overrides:

supports in class Solver

Parameters:

model - the network model to check

Returns:

true if the model is supported, false otherwise

isStochasticMethod

public boolean isStochasticMethod(String method)

All SSA methods are stochastic simulation.

Overrides:

isStochasticMethod in class Solver

Parameters:

method - the method name to classify

Returns:

true always

supportsModelMethod

public String supportsModelMethod(String method)

The fork-join model class, which EVERY SSA method has to clear.

runAnalyzer tag-augments a fork-join model through ModelAdapter.fjtag, whose first act is fjValidate, so a model that validator refuses is refused whichever method was asked for. The feature set cannot state it -- Fork and Join are declared, and the rules are about how they are WIRED (the pairing, the join strategy, the tasks per link, whether an open class is routed through the fork) -- so it is structural, and it is the validator's own body of rules rather than a copy of them.

Without it the report offered every ssa.* row on a fork-join model whose Join names no fork, and each one then threw; SolverCTMC gates on the same predicate for the same reason.

Overrides:

supportsModelMethod in class Solver

Parameters:

method - the concrete method name

Returns:

empty string if supported, else the offending reason

sample

public SampleNodeState sample(Node node,
 Integer numEvents,
 boolean markActivePassive)
                       throws Exception

Sample node state evolution using SSA simulation

Parameters:

node - The node to sample from

numEvents - Number of samples to generate (overrides solver options if provided)

markActivePassive - Whether to mark events as active/passive

Returns:

SampleNodeState containing the sampling results

Throws:

Exception - if sampling fails

sample

public SampleNodeState sample(Node node,
 int numEvents)
                       throws Exception

Sample node state evolution using SSA simulation

Parameters:

node - The node to sample from

numEvents - Number of samples to generate

Returns:

SampleNodeState containing the sampling results

Throws:

Exception - if sampling fails

sample

public SampleNodeState sample(Node node)
                       throws Exception

Sample node state evolution using SSA simulation using default sample count

Parameters:

node - The node to sample from

Returns:

SampleNodeState containing the sampling results

Throws:

Exception - if sampling fails

sampleAggr

public SampleNodeState sampleAggr(Node node,
 Integer numEvents,
 boolean markActivePassive)
                           throws Exception

Sample aggregated node state evolution using SSA simulation

Parameters:

node - The node to sample from

numEvents - Number of samples to generate (overrides solver options if provided)

markActivePassive - Whether to mark events as active/passive

Returns:

SampleNodeState containing the aggregated sampling results

Throws:

Exception - if sampling fails

sampleAggr

public SampleNodeState sampleAggr(Node node,
 int numEvents)
                           throws Exception

Sample aggregated node state evolution using SSA simulation

Parameters:

node - The node to sample from

numEvents - Number of samples to generate

Returns:

SampleNodeState containing the aggregated sampling results

Throws:

Exception - if sampling fails

sampleAggr

public SampleNodeState sampleAggr(Node node)
                           throws Exception

Sample aggregated node state evolution using SSA simulation using default sample count

Parameters:

node - The node to sample from

Returns:

SampleNodeState containing the aggregated sampling results

Throws:

Exception - if sampling fails

stream

public SampleNodeState stream(Node node,
 StreamingOptions streamingOptions)
                       throws Exception

Sample node state with real-time streaming to OTLP receiver. Streams phase-detailed state information during simulation.

Parameters:

node - The node to sample from

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleNodeState containing the sampling results

Throws:

Exception - if sampling fails

stream

public SampleNodeState stream(Node node,
 Integer numEvents,
 StreamingOptions streamingOptions)
                       throws Exception

Sample node state with real-time streaming to OTLP receiver. Streams phase-detailed state information during simulation.

Parameters:

node - The node to sample from

numEvents - Number of samples to generate

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleNodeState containing the sampling results

Throws:

Exception - if sampling fails

streamAggr

public SampleNodeState streamAggr(Node node,
 StreamingOptions streamingOptions)
                           throws Exception

Sample aggregated node state with real-time streaming to OTLP receiver. Streams state information aggregated by job class during simulation.

Parameters:

node - The node to sample from

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleNodeState containing the aggregated sampling results

Throws:

Exception - if sampling fails

streamAggr

public SampleNodeState streamAggr(Node node,
 Integer numEvents,
 StreamingOptions streamingOptions)
                           throws Exception

Sample aggregated node state with real-time streaming to OTLP receiver. Streams state information aggregated by job class during simulation.

Parameters:

node - The node to sample from

numEvents - Number of samples to generate

streamingOptions - Configuration for streaming (endpoint, mode, frequency)

Returns:

SampleNodeState containing the aggregated sampling results

Throws:

Exception - if sampling fails

getStreamingCollector

public Collector getStreamingCollector()

Get the active streaming collector (for use by Solver_ssa.kt). Returns null if streaming is not active.

Returns:

The active Collector, or null

sampleSys

public Ret.SampleResult sampleSys(int numEvents)

Sample system-wide state evolution using SSA simulation

Overrides:

sampleSys in class NetworkSolver

Parameters:

numEvents - Number of samples to generate

Returns:

SampleSysState containing the system-wide sampling results

Throws:

Exception - if sampling fails

sampleSys

public SampleSysState sampleSys()
                         throws Exception

Sample system-wide state evolution using SSA simulation using default sample count

Returns:

SampleSysState containing the system-wide sampling results

Throws:

Exception - if sampling fails

sampleSysAggr

public Ret.SampleResult sampleSysAggr(int numEvents)

Sample aggregated system-wide state evolution using SSA simulation

Overrides:

sampleSysAggr in class NetworkSolver

Parameters:

numEvents - Number of samples to generate

Returns:

SampleSysState containing the aggregated system-wide sampling results

Throws:

Exception - if sampling fails

sampleSysAggr

public SampleSysState sampleSysAggr()
                             throws Exception

Sample aggregated system-wide state evolution using SSA simulation using default sample count

Returns:

SampleSysState containing the aggregated system-wide sampling results

Throws:

Exception - if sampling fails

getProb

public double getProb(Node node,
 Matrix state)
               throws Exception

Get probability for a specific node state

Parameters:

node - The node to get probability for

state - The state vector (optional - uses node's default state if null)

Returns:

Probability of being in the specified state

Throws:

Exception - if probability calculation fails

getProb

public double getProb(Node node)
               throws Exception

Get probability for a specific node state using the node's default state

Parameters:

node - The node to get probability for

Returns:

Probability of being in the node's default state

Throws:

Exception - if probability calculation fails

getProb

public Ret.ProbabilityResult getProb(int node,
 Matrix state)

Get marginal probability for a specific node state (by node index). This overrides the base NetworkSolver method to use SSA sampling.

Overrides:

getProb in class NetworkSolver

Parameters:

node - The node index to get probability for

state - The state vector (optional - uses node's default state if null)

Returns:

Probability result for being in the specified state

getProbAggr

public double getProbAggr(Node node,
 Matrix state)
                   throws Exception

Get aggregated probability for a specific node state

Parameters:

node - The node to get probability for

state - The state vector (optional - uses node's default state if null)

Returns:

Aggregated probability of being in the specified state

Throws:

Exception - if probability calculation fails

getProbAggr

public double getProbAggr(Node node)
                   throws Exception

Get aggregated probability for a specific node state using the node's default state

Parameters:

node - The node to get probability for

Returns:

Aggregated probability of being in the node's default state

Throws:

Exception - if probability calculation fails

getProbAggr

public Ret.ProbabilityResult getProbAggr(int node,
 Matrix state)

Aggregated probability for a node state, addressed by NODE INDEX.

The Node-typed pair above is the implementation; this overload is what NetworkSolver.getProbAggr(int, Matrix) declares and what every index-addressed caller reaches, LineCLI's -a prob-aggr included. Without it the base class answered "getProbAggr is not supported by SolverSSA" for a solver that implements it, and a delegating client read that refusal as a missing feature.

Overrides:

getProbAggr in class NetworkSolver

Parameters:

node - the node index

state - per-class job counts, or null for the node's own state

Returns:

scalar probability in [0,1]

getProbSys

public Ret.ProbabilityResult getProbSys()

Get system-wide probability for the current system state

Overrides:

getProbSys in class NetworkSolver

Returns:

Probability of being in the system state

Throws:

Exception - if probability calculation fails

getProbSysAggr

public Ret.ProbabilityResult getProbSysAggr()

Get aggregated system-wide probability for the current system state

Overrides:

getProbSysAggr in class NetworkSolver

Returns:

Aggregated probability of being in the system state

Throws:

Exception - if probability calculation fails

defaultOptions

public static SolverOptions defaultOptions()

Returns the default solver options for the SSA solver.

Returns:

Default solver options with SolverType.SSA

planRunLength

public static Map<String,Object> planRunLength(SolverOptions options,
 Matrix means,
 Matrix ciHalfWidth,
 double samplesUsed)

The run length the caller would need for the precision they asked for.

Null unless options.config.runLengthPlan is set; it is either a Double target RELATIVE precision or a map with keys relprecision and confidence.

Parameters:

options - the solver options

means - the measured means

ciHalfWidth - their confidence-interval half-widths

samplesUsed - the run length those half-widths came from

Returns:

the plan, or null

See Also:

• SimRunlength.sim_runlength_plan(jline.util.matrix.Matrix, jline.util.matrix.Matrix, double, double, double)

getCdfRespT

public Ret.DistributionResult getCdfRespT()

Not available: SolverSSA does not record per-job response times.

A simulator must report what it measured. The inherited NetworkSolver implementation fabricates an exponential law with the right mean, which carries no information about the tail and would be indistinguishable, to the caller, from a measured distribution. SSA samples state trajectories, not per-job sojourn times, so there is nothing to build an empirical CDF from -- the reference @SolverSSA/getCdfRespT.m refuses by name and so does this port.

Overrides:

getCdfRespT in class NetworkSolver

Returns:

result containing CDFs for response times [stations x classes]

getCdfRespT

public Ret.DistributionResult getCdfRespT(AvgHandle R)

Description copied from class: NetworkSolver

Returns cumulative distribution functions of response times at steady-state. Uses an exponential approximation based on average response times.

Overrides:

getCdfRespT in class NetworkSolver

Parameters:

R - response time handles (optional)

Returns:

result containing CDFs for response times [stations x classes]