jline 2.0 API
Packages
Package
Description
Procedural algorithms for solving stochastic models
Command line and WebSocket client/server execution.
Examples of regular and layered queueing networks.
Input/output from the command line or XML files.
Abstractions to declare basic elements of a model.
This package contains constants used in the definition of queueing characteristics
This package contains the classes used the specify LayeredNetwork objects
This package contains the classes used the specify Network objects
This package contains statistical distributions used to specify arrival rates, service rates, and item popularities
Classes that model the individual sections that form a Network node
Classes that model the state of a network and its individual nodes
Ad-hoc migrated versions of external library dependencies.
Classes for Laplace transform inversion
Classes that partially migrate third-party libraries to Java
Solver superclasses and related data structures.
Solution approaches based on Continuous-Time Markov Chain solution
Solution approaches for stochastic models in random environments.
Solution approaches based on mean-field and fluid approximations.
Classes that embody different fluid ODE analysis algorithms
Classes that generate the ordinary differential equations (ODEs) used in the Fluid solver
Classes that implement the smoothing method for transient fluid analysis
Wrapper for the Java Modelling Tools (JMT) suite solvers
LINE's native Layered Network (LN) solver
Wrapper for University of Carleton RADS group's Layered Queueing Network Solver (LQNS)
Analysis approaches based on matrix-analytic methods
Analysis approaches based on Mean-Value Analysis (MVA)
Classes that embody different mean-value analysis methods
Classes for coordinate the execution and performance metric estimation in MVA-based algorithms
Analysis approaches based on Normalizing Costant (NC) methods
Classes that embody different normalizing constant analysis methods
Analysis approaches based on the Stochastic Simulation Algorithm (SSA) for Markov chains
This package contains some fundamental data structures and utilities