Open Network Simulation

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.

Features

• 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.

Configuration

parameters.py

This file hosts the adjustable parameters for the simulation.

Default Values

Processing Speed

Parameter	Default Value
Processor	6.25ms
System Disk 1	10ms
System Disk 2	15ms
System Disk 3	15ms
User Disk	25ms

Processor Transfer Probability

Parameter	Default Value
System Disk 1	15%
System Disk 2	10%
System Disk 3	5%
User Disk	50%
Processor	20%

System Disk Transfer Probability

Parameter	Default Value
Processor	30%
Self	20%
User Disk	50%

Variables

Parameter	Default Value
r (job arrival rate modification)	[0.25, 0.50, 0.77, 0.99]
K (num. of user disks)	[2, 3, 4, 5]

Simulation Parameters

Parameter	Default Value
Simulation Time	30 minutes
Number of Simulations	10

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

generate.py

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.

Default Schema

How-To Run

1. Ensure you have the required dependencies:

   pip install -r requirements.txt
   

2. Execute the program by running main.py:

   python main.py