TinyFastSimulator-Java 🚀

Welcome to TinyFastSimulator-Java, a simple yet powerful discrete event-oriented simulator designed for G/G/c models. This Java edition allows users to model and analyze complex systems with ease. Whether you are a researcher, student, or professional, this tool provides a reliable platform for your simulation needs.

Features

Discrete Event Simulation: Simulate systems where events occur at distinct times.
Queueing Models: Analyze queue behavior with G/G/c models.
Benchmarking Tools: Evaluate performance and efficiency of your simulations.
User-Friendly Interface: Designed for ease of use, even for beginners.
Extensible Architecture: Add custom components and models as needed.

Getting Started

To get started with TinyFastSimulator-Java, download the latest version from our Releases section. Follow the instructions to set up your environment.

Prerequisites

Java Development Kit (JDK) 8 or higher
Basic understanding of Java programming
Familiarity with discrete event simulation concepts

Usage

After downloading and executing the application, you can start creating your simulations. The simulator allows you to define events, resources, and queues. Here’s a brief overview of how to use the simulator:

Define Your Model: Specify the parameters of your G/G/c model, including arrival rates, service times, and the number of servers.
Run Simulations: Execute your model and observe the results.
Analyze Results: Use built-in tools to analyze performance metrics such as average wait times and system utilization.

Key Concepts

Discrete Event Simulation

Discrete event simulation (DES) is a method for modeling the operation of a system as a discrete sequence of events in time. In TinyFastSimulator, you can define events that trigger changes in the state of your system.

Queueing Theory

Queueing theory studies how entities wait in line. In our simulator, you can model various queueing scenarios to understand system performance under different conditions.

G/G/c Models

G/G/c models are a class of queueing models where both the arrival and service processes are governed by general distributions. This flexibility allows for realistic modeling of many real-world systems.

Installation

Download the latest release from the Releases section.
Unzip the downloaded file to your preferred location.
Open a terminal or command prompt.
Navigate to the directory where you unzipped the files.
Execute the simulator using the command:
```
java -jar TinyFastSimulator.jar
```

Examples

Here are a few examples to illustrate how to use TinyFastSimulator:

Example 1: Basic Queueing Model

Define arrival and service rates.
Set the number of servers.
Run the simulation.
Review the output for average wait times and system utilization.

Example 2: Complex System

Create multiple queues with different parameters.
Introduce events that affect multiple queues.
Analyze how changes impact overall system performance.

Contributing

We welcome contributions to TinyFastSimulator-Java! If you want to contribute, please follow these steps:

Fork the repository.
Create a new branch for your feature or bug fix.
Make your changes and commit them.
Push to your branch and submit a pull request.

License

TinyFastSimulator-Java is licensed under the MIT License. See the LICENSE file for more information.

Contact

For questions or feedback, feel free to reach out:

Author: Andrej Stame
Email: andrej@example.com
GitHub: Andrejstame008

Thank you for using TinyFastSimulator-Java! We hope it meets your simulation needs. If you have any issues, please check the Releases section for updates and new features.