Constructor Detail

Method Detail

• pfqn_egflinearizer

   final static Ret.pfqnAMVA pfqn_egflinearizer(Matrix L, Matrix N, Matrix Z, Array<SchedStrategy> type, Double tol, Integer maxiter, Matrix alpha)

  Extended general form linearizer approximate mean value analysis algorithm. This method performs approximate mean value analysis using an extended general form linearizer approach.

  Parameters:

  L -

  • the service demand matrix, where rows represent stations and columns represent classes

  N -

  • the population vector indicating the number of requests for each class

  Z -

  • the think times, representing the average time between completion of one service request and the beginning of the next

  type -

  • the types of scheduling disciplines (e.g., FCFS, PS) used at each station

  tol -

  • the maximum tolerance admitted between successive iterations, used for convergence checking

  maxiter -

  • the maximum number of iterations allowed in the algorithm

  alpha -

  • matrix of alphas, which provides weightings or adjustments for each class in the linearizer

  Returns:

  • a pfqnAMVA object containing the computed performance measures: queue lengths, utilizations, response times, and throughput rates