Constructor Detail

• LayeredModel

  LayeredModel()

Method Detail

• lqn_basic

   static LayeredNetwork lqn_basic()

  Basic layered network with multiple processors and synchronous calls.

  Features: - Two PS processors P1 (2 cores) and P2 (3 cores) - Three tasks: T1 (50 jobs, REF), T2 (50 jobs, FCFS), T3 (25 jobs, FCFS) - Synchronous call chain: T1 -> E2 (1 call), T2 -> E3 (5 calls) - Demonstrates basic multi-tier application modeling

  Returns:

  configured basic layered network model

• lqn_serial

   static LayeredNetwork lqn_serial()

  Basic layered network with two processors and synchronous calls.

  Features: - Two PS processors P1 and P2 with single server each - Task T1 (10 jobs, REF) with exponential think time (0.01) - Task T2 (1 job, FCFS) with immediate think time - Activities with serial precedence and synchronous calls - Demonstrates basic layered network modeling

  Returns:

  configured layered network model

• lqn_multi_solvers

   static LayeredNetwork lqn_multi_solvers()

  Layered network with infinite servers and APH service.

  Features: - Two infinite capacity processors (P1, P2) - Task T1 (1 job, REF) with Erlang think time - Task T2 (infinite jobs, INF) with immediate think time - APH service distribution with high variability (SCV=10) - Synchronous call with multiplicity 3

  Returns:

  configured layered network with infinite servers

• lqn_function

   static LayeredNetwork lqn_function()

  Layered network with function task demonstrating FaaS/serverless.

  Features: - 2 processors (P1 infinite, P2 with 4 servers) - FunctionTask demonstrating cold start and keep-alive behavior - Setup time (cold start penalty) and delay-off time (warm duration) - Synchronous calls between client and function layers - Representative of serverless/FaaS architectures

  Returns:

  configured layered network with function task

• lqn_twotasks

   static LayeredNetwork lqn_twotasks()

  Layered network with multiple entries and synchronous calls.

  Features: - Two PS processors with high task populations - Task T1 (100 jobs, REF) with Erlang think time - Task T2 (100 jobs, INF) with multiple entries (E2, E3) - Activity A1 makes synchronous calls to both E2 and E3 - Serial precedence pattern in T2 activities - Demonstrates concurrent service requests

  Returns:

  configured multi-entry layered network

• lqn_bpmn

   static LayeredNetwork lqn_bpmn()

  Complex layered network with fork-join patterns and multiple precedence types.

  Features: - 7 processors with varying capacities and scheduling strategies - 7 tasks with different multiplicity and reference patterns - 16 entries across all tasks - OrFork, AndFork, OrJoin, AndJoin activity precedence patterns - Demonstrates advanced layered network control flow - Complex synchronous call patterns between layers

  Returns:

  configured fork-join layered network

• lqn_workflows

   static LayeredNetwork lqn_workflows()

  Layered network demonstrating loop and fork-join precedence patterns.

  Features: - 3 processors: P1 (INF), P2 (INF), P3 (5 servers, PS) - Task T1 with loop precedence (3 iterations) - Task T2 with AndFork/AndJoin patterns - Task T3 with OrFork/OrJoin patterns (30%, 30%, 40% probabilities) - Nested synchronous calls between tasks - Demonstrates complex control flow in layered networks

  Returns:

  configured layered network with loops and forks

• lqn_ofbiz

   static LayeredNetwork lqn_ofbiz()

  Large enterprise layered network model (ofbizExample substitute).

  Features: - 5 processors representing different system layers - Client layer with reference task (10 jobs) - 3 service layers with FCFS tasks - Database layer with FCFS task - Serial activity precedence with synchronous calls - Representative of Apache OFBiz-style enterprise architecture - Each service layer makes database calls

  Returns:

  configured large layered network model

• main

   static void main(Array<String> args)

  Main method for testing and demonstrating layered model examples.

  Currently contains commented code for various testing scenarios: - XML parsing and export functionality - Solver integration and performance analysis - Model structure inspection and visualization - Ensemble analysis for layered networks

  Parameters:

  args - command line arguments (not used)