Constructor Detail

Method Detail

• pfqn_bsfcfs

  @JvmOverloads() final static Ret.pfqnAMVA pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, Double tol, Integer maxiter, Matrix QN0, Matrix weight)

  Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities

  Parameters:

  L -

  • the service demand matrix (M x R)

  N -

  • the population vector (1 x R)

  Z -

  • the think times vector (1 x R)

  tol -

  • max tolerance admitted between successive iterations

  maxiter -

  • maximum number of iterations

  QN0 -

  • initial queue lengths (M x R), null for uniform initialization

  weight -

  • weight matrix for relative priorities (M x R), null for ones

  Returns:

  • the performance metrics for this network.

• pfqn_bsfcfs

  @JvmOverloads() final static Ret.pfqnAMVA pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, Double tol, Integer maxiter, Matrix QN0)

  Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities

  Parameters:

  L -

  • the service demand matrix (M x R)

  N -

  • the population vector (1 x R)

  Z -

  • the think times vector (1 x R)

  tol -

  • max tolerance admitted between successive iterations

  maxiter -

  • maximum number of iterations

  QN0 -

  • initial queue lengths (M x R), null for uniform initialization

  Returns:

  • the performance metrics for this network.

• pfqn_bsfcfs

  @JvmOverloads() final static Ret.pfqnAMVA pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, Double tol, Integer maxiter)

  Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities

  Parameters:

  L -

  • the service demand matrix (M x R)

  N -

  • the population vector (1 x R)

  Z -

  • the think times vector (1 x R)

  tol -

  • max tolerance admitted between successive iterations

  maxiter -

  • maximum number of iterations

  Returns:

  • the performance metrics for this network.

• pfqn_bsfcfs

  @JvmOverloads() final static Ret.pfqnAMVA pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z, Double tol)

  Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities

  Parameters:

  L -

  • the service demand matrix (M x R)

  N -

  • the population vector (1 x R)

  Z -

  • the think times vector (1 x R)

  tol -

  • max tolerance admitted between successive iterations

  Returns:

  • the performance metrics for this network.

• pfqn_bsfcfs

  @JvmOverloads() final static Ret.pfqnAMVA pfqn_bsfcfs(Matrix L, Matrix N, Matrix Z)

  Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities

  Parameters:

  L -

  • the service demand matrix (M x R)

  N -

  • the population vector (1 x R)

  Z -

  • the think times vector (1 x R)

  Returns:

  • the performance metrics for this network.

• pfqn_bsfcfs

  @JvmOverloads() final static Ret.pfqnAMVA pfqn_bsfcfs(Matrix L, Matrix N)

  Bard-Schweitzer approximate MVA for FCFS scheduling with weighted priorities

  Parameters:

  L -

  • the service demand matrix (M x R)

  N -

  • the population vector (1 x R)

  Returns:

  • the performance metrics for this network.