Constructor Detail

• ClosedModel

  ClosedModel()

Method Detail

• cqn_repairmen

   static Network cqn_repairmen()

  Simple closed network with a delay node and FCFS queue.

  Features: - Single closed class with 10 jobs - Delay node with exponential service (mean 1.0) - FCFS queue with exponential service (mean 1.5) - Probabilistic routing: 70% self-loop at delay, 30% to queue

  Returns:

  configured closed network model

• cqn_twoclass_hyperl

   static Network cqn_twoclass_hyperl()

  Two-class closed network with class switching.

  Features: - Two closed classes with 2 jobs each - Delay node with Erlang and HyperExp distributions - PS (Processor Sharing) queue - Class switching between Class1 and Class2

  Returns:

  configured closed network model

• cqn_threeclass_hyperl

   static Network cqn_threeclass_hyperl()

  Three-class closed network with multi-server PS queue.

  Features: - Three closed classes with populations [2, 0, 1] - Two-server PS queue - Mixed service distributions (Erlang, HyperExp, Exp) - Complex class switching patterns - Uses circular routing matrix for Class3

  Returns:

  configured closed network model

• cqn_multiserver

   static Network cqn_multiserver()

  Four-class closed network with multiple FCFS queues.

  Features: - Four closed classes with populations [2, 2, 2, 1] - Three nodes: Delay, Queue1 (3 servers), Queue2 (3 servers) - Queue2 disabled for Class1 and Class2 - Complex class switching topology - Mix of exponential and Erlang service distributions

  Returns:

  configured closed network model

• cqn_oneline

   static Network cqn_oneline()

  Two-class closed network with four-node cyclic topology.

  Features: - Two closed classes with populations [1, 2] - Four nodes: two delays and two PS queues - Cyclic routing: Delay1 → Delay2 → Queue1 → Queue2 → Delay1 - Different service rates for each class-node combination - Equivalent to MATLAB's Network.cyclicPsInf(N,D,Z) with: - D = [10,5; 5,9] (Queue service times) - Z = [91,92; 93,94] (Delay times) - N = [1,2] (Population)

  Returns:

  configured closed network model

• cqn_twoclass_erl

   static Network cqn_twoclass_erl()

  Closed network with class switching using probabilistic routing.

  Features: - Two closed classes with populations [15, 5] - ClassSwitch node with class switching matrix [0,1;1,0] - Mixed scheduling: PS queues and infinite server delay - Probabilistic routing strategies (RAND, RROBIN, WRROBIN) - Demonstrates advanced routing configuration

  Returns:

  configured closed network model

• cqn_bcmp_theorem_fcfs

   static Network cqn_bcmp_theorem_fcfs()

  Two-class FCFS network demonstrating First-Come-First-Served scheduling.

  Features: - Two closed classes with 2 jobs each - Delay node with Erlang and HyperExp distributions - FCFS queue with exponential service - Simple serial routing between delay and queue

  Returns:

  configured closed network model

• cqn_bcmp_theorem_lcfspr

   static Network cqn_bcmp_theorem_lcfspr()

  Two-class LCFSPR network demonstrating Last-Come-First-Served Preemptive Resume.

  Features: - Two closed classes with 2 jobs each - Delay node with APH (Acyclic Phase-type) distributions - LCFSPR queue with preemptive resume scheduling - Different SCV values for delay services

  Returns:

  configured closed network model

• cqn_bcmp_theorem_ps

   static Network cqn_bcmp_theorem_ps()

  Simple two-class PS network for processor sharing demonstration.

  Features: - Two closed classes with 2 jobs each - Delay node with Erlang and HyperExp distributions - PS queue with exponential service for both classes - Simple serial routing between delay and queue

  Returns:

  configured closed network model

• cqn_repairmen_multi

   static Network cqn_repairmen_multi()

  Two-class closed network with multi-server queue.

  Features: - Two closed classes with populations [4, 2] - Delay node with exponential service for both classes - FCFS queue with 3 servers - Different service rates (Class2 has 10x faster service)

  Returns:

  configured closed network model

• cqn_twoqueues_multi

   static Network cqn_twoqueues_multi()

  Two-class three-node closed network with serial topology.

  Features: - Two closed classes with 10 jobs each - Three nodes: Delay, Queue1, Queue2 in series - All exponential service times with different rates - Cyclic routing: Delay → Queue1 → Queue2 → Delay

  Returns:

  configured closed network model

• cqn_twoqueues

   static Network cqn_twoqueues()

  Single-class closed network with reducible routing matrix.

  Features: - Single closed class with 1 job - Three nodes: Delay, Queue1 (FCFS), Queue2 (FCFS) - Reducible routing matrix where Queue1 and Queue2 have self-loops - Initial routing from Delay splits between Queue1 (30%) and Queue2 (50%) - Demonstrates handling of absorbing states in routing

  Returns:

  configured closed network model

• cqn_scheduling_dps

   static Network cqn_scheduling_dps()

  Mixed scheduling strategies with probabilistic routing.

  Features: - Two closed classes: Class1 (2 jobs), Class2 (1 job) - Three stations: Delay, PS Queue, DPS Queue - Probabilistic routing with opposite preferences per class - Class1: 30% to Queue1, 70% to Queue2 - Class2: 70% to Queue1, 30% to Queue2 - Demonstrates DPS (Discriminatory Processor Sharing) scheduling

  Returns:

  configured mixed scheduling network model

• cqn_mmpp2_service

   static Network cqn_mmpp2_service()

  APH service distributions with complex routing patterns.

  Features: - Two closed classes (1 job each) with APH service distributions - All service times fitted using APH with specific mean and SCV values - Class1: probabilistic routing (0% self-loop, 30% Queue1, 70% Queue2) - Class2: random routing strategy - High variability service times (SCV up to 5.038) - Demonstrates APH fitting for realistic service modeling

  Returns:

  configured APH-based network model

• main

   static void main(Array<String> args)

  Main method for testing and demonstrating closed model examples.

  Currently configured to run cqn_threeclass_hyperl() and solve it using the JMT solver to display system-level metrics.

  Parameters:

  args - command line arguments (not used)