Package jline.examples.java.advanced

Class AgentModelExamples

java.lang.Object

jline.examples.java.advanced.AgentModelExamples

public class AgentModelExamples
extends Object

Examples demonstrating MAM with RCAT/INAP method for agent-based analysis. The RCAT (Reversed Compound Agent Theorem) algorithm decomposes queueing networks into interacting stochastic processes. INAP (Iterative Numerical Approximation Procedure) efficiently solves the resulting fixed-point equations. References: - Marin and Rota-Bulo', "A Mean-Field Analysis of a Class of Interactive Distributed Systems", MASCOTS 2009 - Harrison and Llado, "Stochastic bounds and product form solutions using RCAT", ICPE 2011

Constructor Summary

Constructors

Constructor	Description
AgentModelExamples()

Method Summary

Modifier and Type	Method	Description
static void	ag_closed_network()	Closed network with two PS queues.
static void	ag_gnetwork()	G-network (Gelenbe network) with negative customers.
static void	ag_jackson_network()	Jackson network with probabilistic routing.
static void	ag_multiclass_closed()	Multiclass closed network.
static void	ag_tandem_open()	Open tandem queue (M/M/1 -> M/M/1) example.
static void	main(String[] args)	Run all agent model examples.

Methods inherited from class java.lang.Object

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

Constructor Details

AgentModelExamples

public AgentModelExamples()

Method Details

ag_tandem_open

public static void ag_tandem_open()
                           throws Exception

Open tandem queue (M/M/1 -> M/M/1) example. Demonstrates MAM with INAP method on a simple open network with two queues in series. Compares results against analytical M/M/1 formulas and MVA.

Throws:

Exception - if the solver encounters an error

ag_closed_network

public static void ag_closed_network()
                              throws Exception

Closed network with two PS queues. Demonstrates MAM with INAP method on a closed queueing network with processor-sharing discipline. Compares results against MVA and CTMC.

Throws:

Exception - if the solver encounters an error

ag_multiclass_closed

public static void ag_multiclass_closed()
                                 throws Exception

Multiclass closed network. Demonstrates MAM with INAP method on a multiclass closed network. RCAT creates separate processes for each (station, class) pair.

Throws:

Exception - if the solver encounters an error

ag_jackson_network

public static void ag_jackson_network()
                               throws Exception

Jackson network with probabilistic routing. Demonstrates MAM with INAP method on an open Jackson network with feedback routing. RCAT models job transfers as synchronization actions between processes.

Throws:

Exception - if the solver encounters an error

ag_gnetwork

public static void ag_gnetwork()
                        throws Exception

G-network (Gelenbe network) with negative customers. Demonstrates MAM with INAP method on a G-network where negative customers (signals) remove jobs from queues. This models scenarios like job cancellations or service interrupts. Reference: Gelenbe, E. (1991). "Product-form queueing networks with negative and positive customers", Journal of Applied Probability

Throws:

Exception - if the solver encounters an error

main

public static void main(String[] args)
                 throws Exception

Run all agent model examples.

Parameters:

args - command line arguments (unused)

Throws:

Exception - if any solver encounters an error