Package | Description |
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examples.jmarkov | |
examples.jmdp | |
examples.jphase | |
jmarkov |
Provides the basic elements to model continuous time Markov chains (CTMC).
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jmarkov.basic |
This package contains basic elements such as State, Event, Action that are used in jMarkov and jMDP
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jmarkov.gui |
Provides classes for graphic user interface (GUI) to present the
result of a model build with JMarkov.
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jmarkov.solvers |
Provides classes for customizing a solver used by JMarkov to solve transient
and steady state probabilities in different models.
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Modifier and Type | Class and Description |
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class |
AccessControl2Queues
This class represents a network with 2 queues in tandem, where the second queue has a buffer
of size B and the first has a unit buffer.
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class |
BBPhase
This is the Java implementation for the Bucket Brigades System
using Phase Distribution.
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class |
BBPhBuf
This class is a java implementation of Bucket Brigades System
using Phase Distribution and buffers among the stations.
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class |
BBPhBufExp
This class model a Bucket Brigades production line with
phase type service times.
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class |
BucketBrigades
This class describes a Bucket Brigades system with no intermediate
buffers, N workers and M machines with possibly uneven working velocities.
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class |
BucketBuffers
Model of a Bucket Brigades production system with buffers.
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class |
DriveThru
This class implements a Drive Thru.
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class |
ErlangQueue
This class implements a system with N servers with erlang services.
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class |
HiperExQueue
This class implements a system with one server with PH
service.
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class |
Jackson
This class represents a "Closed Jackson Network" with numStations multi-server
workstations and N entities in the system.
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class |
Kanban
This class implements a Kanban system with one card.
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class |
PHLine
This class implements a system with two tandem servers, each one with a PH
service.
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class |
PickBlockNarrow
This class represents a Narrow Aisle Picking System with 2 pickers,
n picklocs and a infinity:1 pick/walk speed ratio.
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class |
PickBlockNarrowCont
This class represents a Narrow Aisle Picking System with 2 pickers
n picklocs and exponential picking and walking times, each time can be different
for each picker.
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class |
PickBlockNarrowSlow
This class represents a Narrow Aisle Picking System with 2 pickers
n picklocs and a 1:1 pick/walk speed ratio.
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class |
PickBlockWide
This class represents a Wide Aisle Picking System with 2 pickers
n picklocs and a infinity:1 pick/walk speed ratio.
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class |
PickBlockWideContKPickers_V3
This class represents a Wide Aisle Picking System with 2 pickers
n picklocs and exponential picking and walking times, each time is different
for each picker.
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class |
PickBlockWideSlow
This class represents a Wide Aisle Picking System with 2 pickers
n picklocs and a 1:1 pick/walk speed ratio.
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class |
QueueMEk1
This example represents a queueing system with Poisson arrivals at rate
lambda' if the system is empty, and a rate lambda otherwise.
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class |
QueueMH2k1
This example represents a queueing system with Poisson arrivals at rate
$\lambda’$ if the system is empty, and a rate $\lambda$ otherwise.
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class |
QueueMM1N
This class implements an M/M/1/N queue.
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class |
QueueMM2dN
This class represents a system with 2 different exponential
servers with rates mu1 and mu2, respectively, and arrival rate
lambda.
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class |
QueueMMKdN
This class represents is a system with K different
exponential servers with rates mu1, mu2, etc,
respectively, and arrival rate lambda.
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class |
QueuePhPh2
This class implements a system whit two tandem servers each one with a phase
service.
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class |
Web
This is an example of a web server that can receive different M
types of items and can serve N simultaneous items with a maximum
queue capacity of MaxQueue.
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Modifier and Type | Method and Description |
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void |
InvLevel.computeMOPs(MarkovProcess mp) |
Modifier and Type | Class and Description |
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class |
PhaseSystem |
Modifier and Type | Class and Description |
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class |
GeomProcess<Sub extends State,E extends Event>
The class GeomProcess represents a continuos or discrete Quasi
Birth and Death process.
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class |
SimpleMarkovProcess<S extends State,E extends Event> |
Modifier and Type | Method and Description |
---|---|
void |
GeomRelState.computeMOPs(MarkovProcess mp) |
void |
GeomState.computeMOPs(MarkovProcess mp) |
int |
GeomState.setMOP(MarkovProcess mp,
java.lang.String mopName,
double value) |
Modifier and Type | Method and Description |
---|---|
void |
PropertiesState.computeMOPs(MarkovProcess mp)
By default it computes the long run average for each property. the user
should override this method in order to compute more meaningful measures
of performance.
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void |
StateEvent.computeMOPs(MarkovProcess<?,?> model) |
abstract void |
State.computeMOPs(MarkovProcess<?,?> model)
This method should be implemented in order to compute all the measures of
performance MOPs.
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double |
State.getMOP(java.lang.String mopName,
MarkovProcess<?,?> model)
Gets the value of the MOP with this name, by calling
getMOP(int) |
int |
State.setMOP(MarkovProcess<?,?> model,
java.lang.String mopName,
double value)
Sets the value of the MOP with this name.
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Modifier and Type | Method and Description |
---|---|
MarkovProcess |
InfoPanel.getMP()
Return the SimpleMarkovProcess associted with this GUI.
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Modifier and Type | Method and Description |
---|---|
void |
MarkovGUI.loadMP(MarkovProcess<?,?> mp)
Loads the given SimpleMarkovProcess in the GUI
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void |
InfoPanel.setMP(MarkovProcess mp)
Sets the MarkovProcess and shows the corresponding information.
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Constructor and Description |
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MarkovGUI(MarkovProcess mp)
Creates GUI with thr given SimpleMarkovProcess.
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Modifier and Type | Method and Description |
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MarkovProcess |
Solver.getMP()
Returns the Markov process currently being solved by this solver.
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Constructor and Description |
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GeometricSolver(MarkovProcess mp)
Builds a Geometrix Solver with the given SimpleMarkovProcess.
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GeometrixSolver(MarkovProcess mp)
Builds a Geometrix Solver with the given SimpleMarkovProcess.
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JamaSolver(MarkovProcess mp) |
JamaTransientSolver(MarkovProcess mp)
Default constructor
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MtjSolver(MarkovProcess mp)
Default constructor.
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MtjSolver(MarkovProcess mp,
MtjSolver.EnumSolver solver)
Construct a solver for the given SimpleMarkovProcess.
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MtjSolver(MarkovProcess mp,
MtjSolver.EnumSolver solver,
boolean tryOthers)
Construct a solver for the given SimpleMarkovProcess.
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Solver(MarkovProcess mp)
Build a solver for the given SimpleMarkovProcess
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SteadyStateSolver(MarkovProcess mp)
Builds a Steady State Solver with the given SimpleMarkovProcess.
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TransientSolver(MarkovProcess mp)
Build a solver with the asssocieted Markov Process.
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