Class Pfqn_pam

java.lang.Object
jline.api.pfqn.mva.Pfqn_pam

public final class Pfqn_pam extends Object
Hsieh-Lam Proportional Approximation Methods (PAMB/PAMI/PAMT).

C. T. Hsieh, S. S. Lam, "PAM - A noniterative approximate solution method for closed multichain queueing networks", ACM SIGMETRICS Perform. Eval. Rev. 16(1), 1988. The three variants are NONITERATIVE: the queue lengths are seeded by the proportion of a class demand that falls at each centre,

E_ck = D_ck / sum_i D_ci,   Q_ck(N) = E_ck N_c,

and the MVA equations are then unrolled a fixed number of times. PAMB applies the last MVA step; PAMI additionally scales a class down wherever it would drive a centre past full utilization; PAMT seeds at N - 1_i - 1_j and applies the last TWO MVA steps before that capping. The seed spreads the whole class population over the queueing centres and ignores Z, exactly as published: PAM buys speed, not accuracy.