Package jline.api.qsys

Class Qsys_bmapphnn_retrial

java.lang.Object

jline.api.qsys.Qsys_bmapphnn_retrial

public final class Qsys_bmapphnn_retrial
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
static final int	DEFAULT_MAX_BLOCK_SIZE	Default cap on the per-level block size V*d.
static final double	DEFAULT_MAX_DIM	Default cap on the total generator dimension explored by the adaptive refinement.
static final double	DEFAULT_TAIL_TOLERANCE	Default relative orbit-truncation error target.

Method Summary

Modifier and Type	Method	Description
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int R)
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int[] R)
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int[] R, int maxLevel)
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int[] R, int maxLevel, double tolerance, boolean verbose)
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int[] R, int maxLevel, double tolerance, boolean verbose, double tailTolerance, double maxDim, int maxBlockSize)	Analyzes a BMAP/PH/N/N bufferless retrial queue with admission control.
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int[] R, int maxLevel, double tolerance, boolean verbose, double tailTolerance, double maxDim, int maxBlockSize, int retrialPolicy)	As above, with an explicit retrial policy.
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int R, int maxLevel)
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int R, int maxLevel, double tolerance, boolean verbose)
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int R, int maxLevel, double tolerance, boolean verbose, double tailTolerance, double maxDim, int maxBlockSize)
static QsysRetrialResult	qsys_bmapphnn_retrial(Matrix[] D, Matrix beta, Matrix S, int N, double alpha, double gamma, double p, int R, int maxLevel, double tolerance, boolean verbose, double tailTolerance, double maxDim, int maxBlockSize, int retrialPolicy)	As above with a scalar admission threshold and an explicit retrial policy.

Methods inherited from class java.lang.Object

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

Field Details

DEFAULT_TAIL_TOLERANCE

public static final double DEFAULT_TAIL_TOLERANCE

Default relative orbit-truncation error target.

See Also:

• Constant Field Values

DEFAULT_MAX_DIM

public static final double DEFAULT_MAX_DIM

Default cap on the total generator dimension explored by the adaptive refinement.

See Also:

• Constant Field Values

DEFAULT_MAX_BLOCK_SIZE

public static final int DEFAULT_MAX_BLOCK_SIZE

Default cap on the per-level block size V*d.

See Also:

• Constant Field Values

Method Details

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int R)

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int R,
 int maxLevel)

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int R,
 int maxLevel,
 double tolerance,
 boolean verbose)

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int R,
 int maxLevel,
 double tolerance,
 boolean verbose,
 double tailTolerance,
 double maxDim,
 int maxBlockSize)

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int R,
 int maxLevel,
 double tolerance,
 boolean verbose,
 double tailTolerance,
 double maxDim,
 int maxBlockSize,
 int retrialPolicy)

As above with a scalar admission threshold and an explicit retrial policy.

Parameters:

retrialPolicy - RetrialPolicy.LINEAR or RetrialPolicy.CONSTANT

Returns:

the retrial-queue result

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int[] R)

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int[] R,
 int maxLevel)

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int[] R,
 int maxLevel,
 double tolerance,
 boolean verbose)

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int[] R,
 int maxLevel,
 double tolerance,
 boolean verbose,
 double tailTolerance,
 double maxDim,
 int maxBlockSize)

Analyzes a BMAP/PH/N/N bufferless retrial queue with admission control.

Parameters:

maxLevel - fixed orbit truncation level; when non-positive the level is chosen adaptively from the residual tail mass

tolerance - convergence tolerance of the underlying linear algebra

verbose - print progress messages

tailTolerance - relative orbit-truncation error target for the adaptive refinement

maxDim - cap on the total generator dimension explored by the refinement

maxBlockSize - cap on the per-level block size V*d

qsys_bmapphnn_retrial

public static QsysRetrialResult qsys_bmapphnn_retrial(Matrix[] D,
 Matrix beta,
 Matrix S,
 int N,
 double alpha,
 double gamma,
 double p,
 int[] R,
 int maxLevel,
 double tolerance,
 boolean verbose,
 double tailTolerance,
 double maxDim,
 int maxBlockSize,
 int retrialPolicy)

As above, with an explicit retrial policy.

Parameters:

retrialPolicy - RetrialPolicy.LINEAR (each orbiting customer retries at its own rate, aggregate rate n*nu) or RetrialPolicy.CONSTANT (the orbit retries as a whole at rate nu when non-empty)

Returns:

the retrial-queue result