aivika: A multi-paradigm simulation library

Aivika is a multi-paradigm simulation library with a strong emphasis on Discrete Event Simulation (DES) and System Dynamics (SD).

The library has the following features:

• allows defining recursive stochastic differential equations of System Dynamics (unordered as in maths via the recursive do-notation);

• supports the event-driven paradigm of DES as a basic core for implementing other paradigms;

• supports extensively the process-oriented paradigm of DES with an ability to resume, suspend and cancel the discontinuous processes;

• allows working with the resources based on specified queue strategies (FCFS/FIFO, LCFS/LIFO, SIRO, static priorities and so on);

• allows customizing the infinite and finite queues based on strategies too;

• allows defining a queue network based on infinite streams of data and their processors, where we can define a complex enough behaviour just in a few lines of code;

• allows simulating circuits with recursive links and delays;

• supports the activity-oriented paradigm of DES;

• supports the basic constructs for the agent-based modeling;

• allows creating combined discrete-continuous models as all parts of the library are well integrated and this is reflected directly in the type system;

• the arrays of simulation variables are inherently supported;

• supports the Monte-Carlo simulation;

• the simulation model can depend on external parameters;

• uses extensively signals for notification;

• allows gathering statistics in time points;

• hides technical details in high-level simulation computations (monads and arrows).

Aivika itself is a light-weight engine with minimal dependencies. However, it has additional packages Aivika Experiment [1] and Aivika Experiment Chart [2] that offer the following features:

• automating the simulation experiments;

• saving the results in CSV files;

• plotting the deviation chart by rule 3-sigma, histogram, time series, XY chart;

• collecting the summary of statistical data;

• parallel execution of the Monte-Carlo simulation;

• have an extensible architecture.

All three libraries were tested on Linux, Windows and OS X.

The PDF documentation is available on the Aivika Wiki [3] website.

[1] http://hackage.haskell.org/package/aivika-experiment

[2] http://hackage.haskell.org/package/aivika-experiment-chart

[3] https://github.com/dsorokin/aivika/wiki

P.S. Aivika is actually a genuine female Mari name which is pronounced with stress on the last syllable.

• Simulation
  • Simulation.Aivika
    • Simulation.Aivika.Agent
    • Simulation.Aivika.Arrival
    • Simulation.Aivika.Circuit
    • Simulation.Aivika.Cont
    • Simulation.Aivika.DoubleLinkedList
    • Simulation.Aivika.Dynamics
      • Simulation.Aivika.Dynamics.Fold
      • Simulation.Aivika.Dynamics.Interpolate
      • Simulation.Aivika.Dynamics.Memo
        • Simulation.Aivika.Dynamics.Memo.Unboxed
      • Simulation.Aivika.Dynamics.Random
    • Simulation.Aivika.Event
    • Simulation.Aivika.Generator
    • Simulation.Aivika.Net
    • Simulation.Aivika.Parameter
      • Simulation.Aivika.Parameter.Random
    • Simulation.Aivika.PriorityQueue
    • Simulation.Aivika.Process
    • Simulation.Aivika.Processor
      • Simulation.Aivika.Processor.RoundRobbin
    • Simulation.Aivika.Queue
      • Simulation.Aivika.Queue.Infinite
    • Simulation.Aivika.QueueStrategy
    • Simulation.Aivika.Ref
      • Simulation.Aivika.Ref.Light
    • Simulation.Aivika.Resource
    • Simulation.Aivika.Results
      • Simulation.Aivika.Results.IO
      • Simulation.Aivika.Results.Locale
    • Simulation.Aivika.Server
    • Simulation.Aivika.Signal
    • Simulation.Aivika.Simulation
    • Simulation.Aivika.Specs
    • Simulation.Aivika.Statistics
      • Simulation.Aivika.Statistics.Accumulator
    • Simulation.Aivika.Stream
      • Simulation.Aivika.Stream.Random
    • Simulation.Aivika.SystemDynamics
    • Simulation.Aivika.Table
    • Simulation.Aivika.Task
    • Simulation.Aivika.Transform
    • Simulation.Aivika.Unboxed
    • Simulation.Aivika.Var
      • Simulation.Aivika.Var.Unboxed
    • Simulation.Aivika.Vector
      • Simulation.Aivika.Vector.Unboxed