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https://github.com/iboud0/memory-managment
Simple memory management system
https://github.com/iboud0/memory-managment
Last synced: 7 days ago
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Simple memory management system
- Host: GitHub
- URL: https://github.com/iboud0/memory-managment
- Owner: iboud0
- Created: 2024-05-13T00:09:42.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-05-15T09:35:57.000Z (8 months ago)
- Last Synced: 2024-06-17T01:41:46.355Z (7 months ago)
- Language: Python
- Homepage:
- Size: 50.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
---
# Memory Management System
This project implements a simple memory management system in Python. It simulates memory allocation and deallocation strategies commonly used in operating systems.
## Table of Contents
1. [Introduction](#introduction)
2. [Project Structure](#project-structure)
3. [Installation](#installation)
4. [Usage](#usage)
5. [Memory Allocation Strategies](#memory-allocation-strategies)
6. [Contributing](#contributing)
## Introduction
The Memory Management System project provides a simulation of memory management techniques used in operating systems. It allows users to create and delete processes, allocate memory for processes, free memory, and convert virtual addresses to physical addresses.
## Project Structure
The project is organized as follows:
- `mmu/`: Contains the source code for the memory management unit.
- `models/`: Contains the definition of MemoryBlock and Process classes.
- `strategy/`: Contains different memory allocation strategy implementations.
- `main.py`: Main script to run the memory management simulation.
- `README.md`: Documentation file providing information about the project.
## Installation
To use the Memory Management System, follow these steps:
1. Clone the repository to your local machine:
```bash
git clone https://github.com/your-username/memory-management-system.git
```
2. Navigate to the project directory:
```bash
cd memory-management-system
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
## Usage
To run the memory management simulation, execute the `main.py` script:
```bash
python main.py
```
Follow the on-screen instructions to interact with the memory management system.
## Memory Allocation Strategies
The project implements the following memory allocation strategies:
- **First Fit**: Allocates the first available memory block that is large enough to accommodate the process.
- **Best Fit**: Allocates the smallest available memory block that is large enough to accommodate the process.
- **Next Fit**: Similar to First Fit, but starts searching for available memory from the last allocation position.
- **Worst Fit**: Allocates the largest available memory block, which may lead to fragmentation but is useful for certain scenarios.
## Contributing
Contributions to the project are welcome! Feel free to submit bug reports, feature requests, or pull requests.
---