Constructor Detail

Method Detail

• pfqn_linearizerms

   final static Ret.pfqnAMVAMS pfqn_linearizerms(Matrix L, Matrix N, Matrix Z, Matrix nservers)

  Mean Value Analysis (MVA) method for closed networks with load dependent service

  Parameters:

  L -

  • service demand matrix

  N -

  • population vector

  Z -

  • think times

  Returns:

  • performance measures for the closed network.

  Multiserver version of Krzesinski's Linearizer

• pfqn_linearizerms

   final static Ret.pfqnAMVAMS pfqn_linearizerms(Matrix L, Matrix N, Matrix Z, Matrix nservers, List<SchedStrategy> type, Double tol, Integer maxiter)

  Multiserver version of Krzesinski's Linearizer as described in Conway 1989, Fast Approximate Solution of Queueing Networks with Multi-Server Chain- Dependent FCFS Queues. Minor adjustments based on De Souza-Muntz's description of the algorithm.

  Parameters:

  L -

  • service demand matrix

  N -

  • population vector

  Z -

  • think times

  nservers -

  • number of servers at each station

  type -

  • scheduling discipline at each station

  tol -

  • max tolerance admitted between successive iterations

  maxiter -

  • maximum number of iterations

  Returns:

  • the performance measures of the network.

  Multiserver version of Krzesinski's Linearizer