Package jline.api.fes

Class FESAggregator

java.lang.Object

jline.api.fes.FESAggregator

@Deprecated
public final class FESAggregator
extends Object

Deprecated.

Use jline.lang.ModelAdapter.aggregateFES() for public API

Flow-Equivalent Server (FES) Aggregation (Internal Implementation).

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final class	FESAggregator.ConditionalMetrics	Deprecated. Per-population queue lengths and utilizations of the isolated subnetwork.

Method Summary

Modifier and Type	Method	Description
static FESResult	aggregateFES(Network model, List<Station> stationSubset)	Deprecated.
static FESResult	aggregateFES(Network model, List<Station> stationSubset, FESOptions options)	Deprecated.
static FESAggregator.ConditionalMetrics	computeConditionalMetrics(Network isolatedModel, Matrix cutoffs)	Deprecated. Per-station metrics of the ISOLATED subnetwork at every population state.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Details

aggregateFES

public static FESResult aggregateFES(Network model,
 List<Station> stationSubset)

Deprecated.

aggregateFES

public static FESResult aggregateFES(Network model,
 List<Station> stationSubset,
 FESOptions options)

Deprecated.

computeConditionalMetrics

public static FESAggregator.ConditionalMetrics computeConditionalMetrics(Network isolatedModel,
 Matrix cutoffs)

Deprecated.

Per-station metrics of the ISOLATED subnetwork at every population state.

The companion of computeThroughputs. That returns the aggregate throughput X(n) that becomes the flow-equivalent server's rate, which is all the REDUCED model needs; it is not enough to report the COLLAPSED stations' own metrics. Those are recovered by conditioning on the FES population, E[Q_i] = sum_n P(N_fes = n) * Q_i(n) -- the Chandy-Herzog-Woo hierarchical decomposition, exact when the subnetwork is product-form. This supplies the Q_i(n) and U_i(n) that sum is taken over, indexed by Ljd.ljd_linearize exactly as the throughput table is.

Parameters:

isolatedModel - the isolated subnetwork built by the transform

cutoffs - per-class population cutoffs

Returns:

the per-population tables