Package jline.api.pfqn.mva
Class Pfqn_lcp
java.lang.Object
jline.api.pfqn.mva.Pfqn_lcp
Bard Large Customer Population (LCP) approximate MVA.
Y. Bard, "Some extensions to multiclass queueing network analysis", in Performance of Computer Systems, North-Holland, 1979. The first approximate MVA algorithm: it estimates the arrival-instant queue length by the time-averaged one WITHOUT removing the arriving customer,
A_k^(c)(N) = Q_k(N - 1_c) ~= Q_k(N) = sum_s Q_ks(N),
since with a large population one customer less cannot change the mean
queue lengths appreciably. Setting the Bard-Schweitzer proportional term
Q_kc(N)/N_c to zero recovers this algorithm, so LCP is uniformly more
pessimistic than Pfqn_bs and is inaccurate at small populations.
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Method Summary
Modifier and TypeMethodDescriptionstatic Ret.pfqnAMVAstatic Ret.pfqnAMVAstatic Ret.pfqnAMVAstatic Ret.pfqnAMVA
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Method Details
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pfqn_lcp
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pfqn_lcp
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pfqn_lcp
public static Ret.pfqnAMVA pfqn_lcp(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0) -
pfqn_lcp
public static Ret.pfqnAMVA pfqn_lcp(Matrix L, Matrix N, Matrix Z, double tol, int maxiter, Matrix QN0, SchedStrategy[] type)
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