Package jline.api.pfqn.mva
Class Pfqn_pam
java.lang.Object
jline.api.pfqn.mva.Pfqn_pam
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.
-
Field Summary
Fields -
Method Summary
-
Field Details
-
PAMB
- See Also:
-
PAMI
- See Also:
-
PAMT
- See Also:
-
-
Method Details
-
pfqn_pam
-
pfqn_pam
-
pfqn_pam
-