simdart 0.1.0-rc.2

A discrete event simulation package for Dart, designed for modeling and analyzing processes and systems.

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SimDart is a discrete event simulation (DES) framework written in Dart. It is designed to model and simulate systems where events occur at discrete points in time, allowing for the analysis of complex processes and workflows.

Why Dart?

Dart was chosen for this project due to its fast execution, single-threaded nature, and ease of use. Dart's single-threaded model makes it particularly well-suited for discrete event simulation (DES), as it simplifies the process of managing and processing events in sequence. Dart's efficient handling of asynchronous tasks and event queues ensures high performance in managing and executing events with minimal overhead.

Additionally, Dart's strong integration with Flutter makes it an ideal choice for developing frontend applications to visualize and interact with simulations.

Main Features

• Event Scheduling:

  • Schedule events to occur at specific times or after delays within the simulation. Use methods like processAt and processAfter to control the timing of events.

• Event Pausing (Wait):

  • Pause the execution of an event for a given duration using the wait() functionality. This allows simulating delays or waiting periods between events.

• Asynchronous Simulation Execution:

  • Run simulations asynchronously with the run() method. This allows the simulation to handle long-running tasks efficiently while managing event execution.

• Custom Event Handling:

  • Define and manage custom events, behaviors, and conditions, allowing for tailored simulation scenarios specific to your domain.

• Scalable Simulation Workflow:

  • The system is designed to handle large-scale simulations efficiently, processing events and results even with large datasets or complex scenarios.

Upcoming Features

• Resource Management:

  • Upcoming support for simulating resource allocation, allowing for the management of limited resources across different events in the simulation.

• Advanced Event Behaviors:

  • Future enhancements will introduce more granular control over event behaviors, allowing for greater flexibility in simulating complex systems.