Project for Computer Systems Performance / Performanse Računarskih Sistema class.

Python-based application that performs analytical calculations on the specified parameters.

Following the analytical calculations, it simulates an open network system, generating jobs that enter the system in accordance with a Poisson distribution. The user-configurable schema determines how these jobs are transferred between the system's components.

Finally, the findings are presented in Excel tables, text, and visual graphs.

The results/output folder contains an example output for the default parameters.

• Analytical Solution: Uses input parameters to compute server flows and identifies the bottleneck system resource. Applies Jackson's theorem in calculation for other parameters. Provides expected values for the given system.

• Simulation: Examines system behavior, showing dynamics for different configurations and job intensities. Provides simulated values for the given system.

• Analysis & Documentation: Compares results from the analytical method with simulation outcomes and averages from several runs. The data is presented visually for clarity.

This file hosts the adjustable parameters for the simulation.

Processing Speed

Processor Transfer Probability

System Disk Transfer Probability

Variables

Simulation Parameters

Note: The specified simulation time pertains to simulated durations, not the real-time operation of the program.

This file contains the generate_schema(number_of_disks) function that molds the system's schema. If you want to use your own schema you should modify this function. Schema simulation uses components from the simulation folder.

1. Ensure you have the required dependencies:

   pip install -r requirements.txt
   

2. Execute the program by running main.py:

   python main.py