Package jline.solvers.mva

Class SolverMVA

java.lang.Object

jline.solvers.Solver

jline.solvers.NetworkSolver

jline.solvers.mva.SolverMVA

Direct Known Subclasses:

MVA

public class SolverMVA
extends NetworkSolver

SolverMVA implements Mean Value Analysis (MVA) for queueing networks. MVA is an exact analytical method for computing performance measures of closed queueing networks, particularly effective for networks with product-form solutions.

Nested Class Summary

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

NetworkSolver.SolverConfigurator

Field Summary

Fields inherited from class jline.solvers.NetworkSolver

avgHandles, model, sn, tranHandles

Fields inherited from class jline.solvers.Solver

enableChecks, name, options, random, result

Constructor Summary

Constructors

Constructor	Description
SolverMVA(Network model)	Creates a new SolverMVA instance with default options.
SolverMVA(Network model, Object... varargin)	Creates a new SolverMVA instance with variable arguments for options.
SolverMVA(Network model, String method)	Creates a new SolverMVA instance with a specific method.
SolverMVA(Network model, SolverOptions options)	Creates a new SolverMVA instance with specific options.

Method Summary

Modifier and Type	Method	Description
static SolverOptions	defaultOptions()	Returns the default solver options for the MVA solver.
static String	finiteCapacityReason(Network model, NetworkStruct sn)	MVA-specific finite-capacity gate: Blocking-After-Service models are exempt because MVA offers the Smith queue-decomposition method "sqd", and Solver_mva_analyzer routes a BAS model to Solver_sqd under the default method too, so the finite buffers ARE honoured on every MVA path.
static FeatureSet	getFeatureSet()	Returns the feature set supported by the MVA solver
FeatureSet	getMethodFeatureSet(String method)	Per-method feature set, or null to signal "this solver does not diverge per method" (the coarse supports(model) is then used, preserving any structural checks it carries).
Ret.ProbabilityResult	getProbAggr(int ist)	Get marginal state probabilities for a specific station
Ret.ProbabilityResult	getProbMarg(int ist, int jobclass)	Get marginalized state probabilities for a specific station and job class
Ret.ProbabilityResult	getProbMarg(int ist, int jobclass, Matrix state_m)	Get marginalized state probabilities for a specific station and job class with state filter
Ret.ProbabilityResult	getProbNormConstAggr()	Returns the logarithm of the normalizing constant for the aggregate state probabilities
Ret.ProbabilityResult	getProbSysAggr()	Get joint system state probabilities
NetworkStruct	getStruct()	Returns the network structure used by this solver.
String[]	listValidMethods()	List all valid solution methods supported by this solver
static FeatureSet	methodFeatureSet(String method)	Per-method feature deltas applied to the base MVA envelope.
void	runAnalyzer()	Runs the MVA analyzer to solve the queueing network.
void	setStruct(NetworkStruct sn)	Sets the network structure for this solver.
boolean	supports(Network model)	Checks whether the given model is supported by the MVA solver

Methods inherited from class jline.solvers.NetworkSolver

aCT, aCT, aCT, aCT, aCT, aCT, aNCT, aNCT, aNCT, aNCT, aNCT, aNCT, aNT, aNT, aNT, aNT, aNT, aNT, 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, cdfPassT, cdfPassT, cdfRespT, cdfRespT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, chainAvgT, getAllSolvers, getAvg, getAvg, getAvg, getAvgArvR, getAvgArvRChain, getAvgArvRHandles, getAvgCacheTable, getAvgChain, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgChainTable, getAvgHandles, getAvgItemTable, getAvgNode, getAvgNodeArvRChain, getAvgNodeChain, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeChainTable, getAvgNodeQLenChain, getAvgNodeResidTChain, getAvgNodeRespTChain, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTable, getAvgNodeTputChain, getAvgNodeUtilChain, getAvgQLen, getAvgQLenChain, getAvgQLenHandles, getAvgResidT, getAvgResidTChain, getAvgResidTHandles, getAvgRespT, getAvgRespTChain, getAvgRespTHandles, getAvgSys, getAvgSys, getAvgSys, getAvgSysRespT, getAvgSysTable, getAvgSysTable, getAvgSysTable, getAvgSysTput, getAvgT, getAvgT, getAvgT, getAvgT, getAvgT, getAvgT, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTable, getAvgTput, getAvgTputChain, getAvgTputHandles, getAvgUtil, getAvgUtilChain, getAvgUtilHandles, getAvgWaitT, getCdfPassT, getCdfPassT, getCdfRespT, getCdfRespT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getChainAvgT, getDeadlineTable, getModel, getMomentChainTable, getMomentChainTable, getMomentChainTable, getMomentStationTable, getMomentStationTable, getMomentStationTable, getMomentTable, getMomentTable, getMomentTable, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getNodeChainAvgT, getProb, getProb, getProbAggr, getProbSys, getSensitivityTable, getStageT, getStageT, getStageTable, getStageTable, getSysAvgT, getSysAvgT, getSysAvgT, getTranAvg, getTranCdfPassT, getTranCdfPassT, getTranCdfRespT, getTranCdfRespT, getTranHandles, hasAvgResults, hasDistribResults, hasTranResults, initFromSolver, initHandles, model, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, nodeChainAvgT, options, print, prob, prob, probAggr, probAggr, probMarg, probMarg, probNormConstAggr, probSys, probSysAggr, runAnalyzerChecks, sample, sampleAggr, sampleSys, sampleSysAggr, setAvgHandles, setAvgResults, setDistribResults, setLang, setModel, setTranAvgResults, setTranHandles, setTranProb, stageT, stageTable, sysAvgT, sysAvgT, sysAvgT, tranAvg, tranCdfPassT, tranCdfPassT, tranCdfRespT, tranCdfRespT, tranHandles

Methods inherited from class jline.solvers.Solver

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

Methods inherited from class java.lang.Object

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

Constructor Details

SolverMVA

public SolverMVA(Network model,
 String method)

Creates a new SolverMVA instance with a specific method.

Parameters:

model - The network model to analyze

method - The MVA method to use

SolverMVA

public SolverMVA(Network model,
 SolverOptions options)

Creates a new SolverMVA instance with specific options.

Parameters:

model - The network model to analyze

options - The solver options to use

SolverMVA

public SolverMVA(Network model,
 Object... varargin)

Creates a new SolverMVA instance with variable arguments for options.

Parameters:

model - The network model to analyze

varargin - Variable arguments for solver options

SolverMVA

public SolverMVA(Network model)

Creates a new SolverMVA instance with default options.

Parameters:

model - The network model to analyze

Method Details

defaultOptions

public static SolverOptions defaultOptions()

Returns the default solver options for the MVA solver.

Returns:

Default solver options with SolverType.MVA

getFeatureSet

public static FeatureSet getFeatureSet()

Returns the feature set supported by the MVA solver

Returns:

- the feature set supported by the MVA solver

methodFeatureSet

public static FeatureSet methodFeatureSet(String method)

Per-method feature deltas applied to the base MVA envelope. QNA is a two-moment open-network method, so it drops closed-class support. The queueing-system and bounds methods are already structurally restricted by listValidMethods and inherit the base envelope. The RQNA MAP-family delta (open only) is declared here for when the JAR RQNA method lands. Mirrors the MATLAB/Python SolverMVA.getMethodFeatureSet.

Parameters:

method - the concrete method name

Returns:

the per-method FeatureSet

getMethodFeatureSet

public FeatureSet getMethodFeatureSet(String method)

Description copied from class: Solver

Per-method feature set, or null to signal "this solver does not diverge per method" (the coarse supports(model) is then used, preserving any structural checks it carries). Divergent solvers (e.g. MVA, MAM, NC) override this to return the base envelope with per-method deltas applied.

Overrides:

getMethodFeatureSet in class Solver

Parameters:

method - the concrete method name

Returns:

the per-method FeatureSet, or null

getStruct

public NetworkStruct getStruct()

Returns the network structure used by this solver. If the structure is not yet initialized, it will be created from the model.

Returns:

The network structure

setStruct

public void setStruct(NetworkStruct sn)

Sets the network structure for this solver.

Parameters:

sn - The network structure to use

runAnalyzer

public void runAnalyzer()
                 throws IllegalAccessException

Runs the MVA analyzer to solve the queueing network. This method executes the Mean Value Analysis algorithm and stores the results in the solver's result object.

Specified by:

runAnalyzer in class Solver

Throws:

IllegalAccessException - if there are access issues during analysis

supports

public boolean supports(Network model)

Checks whether the given model is supported by the MVA solver

Overrides:

supports in class Solver

Parameters:

model - - the network model

Returns:

- true if the model is supported, false otherwise

finiteCapacityReason

public static String finiteCapacityReason(Network model,
 NetworkStruct sn)

MVA-specific finite-capacity gate: Blocking-After-Service models are exempt because MVA offers the Smith queue-decomposition method "sqd", and Solver_mva_analyzer routes a BAS model to Solver_sqd under the default method too, so the finite buffers ARE honoured on every MVA path. Everything else defers to the shared product-form gate.

Parameters:

model - - the network model

sn - - the network structure

Returns:

null if the model has no binding capacity, otherwise the reason

getProbNormConstAggr

public Ret.ProbabilityResult getProbNormConstAggr()

Returns the logarithm of the normalizing constant for the aggregate state probabilities

Overrides:

getProbNormConstAggr in class NetworkSolver

Returns:

the log of the normalizing constant

getProbAggr

public Ret.ProbabilityResult getProbAggr(int ist)

Get marginal state probabilities for a specific station

Overrides:

getProbAggr in class NetworkSolver

Parameters:

ist - station index (0-based)

Returns:

ProbabilityResult with probability and log probability

getProbSysAggr

public Ret.ProbabilityResult getProbSysAggr()

Get joint system state probabilities

Overrides:

getProbSysAggr in class NetworkSolver

Returns:

ProbabilityResult with probability and log probability

getProbMarg

public Ret.ProbabilityResult getProbMarg(int ist,
 int jobclass)

Get marginalized state probabilities for a specific station and job class

Overrides:

getProbMarg in class NetworkSolver

Parameters:

ist - station index (0-based)

jobclass - job class index (0-based)

Returns:

ProbabilityResult with marginalized state probabilities

getProbMarg

public Ret.ProbabilityResult getProbMarg(int ist,
 int jobclass,
 Matrix state_m)

Get marginalized state probabilities for a specific station and job class with state filter

Overrides:

getProbMarg in class NetworkSolver

Parameters:

ist - station index (0-based)

jobclass - job class index (0-based)

state_m - marginalized state vector to query (optional, null for all states)

Returns:

ProbabilityResult with marginalized state probabilities

listValidMethods

public String[] listValidMethods()

List all valid solution methods supported by this solver

Returns:

array of valid method names