Package jline.api.pfqn.mva
package jline.api.pfqn.mva
Mean Value Analysis algorithms for Product Form Queueing Networks.
This package implements various Mean Value Analysis (MVA) algorithms, which provide efficient recursive solutions for product-form queueing networks without explicitly computing the normalizing constant.
- Since:
- LINE 2.0
-
ClassDescriptionAkyildiz-Bolch AMVA method for multi-server BCMP networks.Conway-Maxwell approximate MVA for multi-server queueing networks.Multi-server Krzesinski linearizer approximate MVA.Linearizer++ algorithm for closed networks without think times.Mean-value analysis of a closed product-form queueing network composed of an aggregated infinite-server (delay) node, any number of load-independent (LI) single-server product-form queues, and any number of order-independent (OI) / pass-and-swap stations with empty swap graph.Exact marginal load-dependent MVA for a closed product-form network of infinite-server (delay) and load-independent (single-server, product-form) stations plus ANY number of order-independent (OI) stations.Result: per-class throughput XN (R) and per-station queue-lengths QN (M x R).Result: per-class throughput X, OI queue-lengths Qoi (K x R), LI queue-lengths Qli (J x R), delay queue-length Qdelay (R).Schmidt MVA algorithm for multi-class FCFS queueing networks.Result of pfqn_sqni containing Q, U and X matrices.Lower Asymptotic Bound Approximation (ABA) for throughput in single-class networks.