A multi-method simulation library
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Simulation Updated the Preemption module. Mar 17, 2017
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Aivika is a multi-method simulation library focused on discrete event simulation (DES) with partial support of system dynamics and agent-based modeling.

It is licensed under BSD3.

[Aivika] 1 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;

  • supports the resource preemption;

  • allows defining a queue network based on streams of data (transacts) and their processors;

  • allows simulating circuits with recursive links and delays;

  • supports the activity-oriented paradigm of DES;

  • supports basic constructs for the agent-based modeling such as agents, states, timeout and timer handlers;

  • 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, streams and arrows).

Aivika itself is a light-weight engine with minimal dependencies. However, it has additional packages [aivika-experiment] 2 and [aivika-experiment-chart] 3 that offer the following features:

  • automating 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;

  • has an extensible architecture.

The charting package has two interchangeable back-ends [aivika-experiment-cairo] 4 and [aivika-experiment-diagrams] 5, where the former uses Cairo and it is more preferable.

The PDF documentation and installation instructions are available on the [Aivika Wiki] 6 website.

Moreover, the method was generalized in package [aivika-transformers] 7 and applied to nested simulation, package [aivika-branches] 8, and parallel distributed simulation, package [aivika-distributed] 9.

The libraries were tested on Linux, Windows and OS X.

A more full information about Aivika is available on the [AivikaSoft] 10 website.

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