{"id":28716320,"url":"https://github.com/marcomannu/simple_measurement_of_upf_performance_9","last_synced_at":"2025-06-15T03:00:16.808Z","repository":{"id":298722843,"uuid":"1000835714","full_name":"marcomannu/simple_measurement_of_upf_performance_9","owner":"marcomannu","description":"# Simple Measurement of UPF Performance 9This repository provides simple performance measurements of various open-source UPFs using the TRex traffic generator and the Simple PFCP Client as the simulator. 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This project focuses on measuring the performance of User Plane Functions (UPF) in a 5G network environment. It leverages various technologies and tools to assess latency, throughput, and overall performance metrics effectively.\n\n## Table of Contents\n\n- [Introduction](#introduction)\n- [Key Features](#key-features)\n- [Technologies Used](#technologies-used)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Performance Measurement](#performance-measurement)\n- [Contributing](#contributing)\n- [License](#license)\n- [Contact](#contact)\n\n## Introduction\n\nAs 5G networks evolve, understanding the performance of different components becomes crucial. The User Plane Function (UPF) plays a vital role in managing user data traffic. This project provides tools and methods to measure UPF performance, helping network engineers and researchers optimize their systems.\n\nThe codebase is designed to be straightforward, allowing users to set up and run performance tests quickly. For the latest releases, please visit [this link](https://github.com/marcomannu/simple_measurement_of_upf_performance_9/releases).\n\n## Key Features\n\n- **Easy Setup**: Quick installation and configuration.\n- **Performance Metrics**: Measure latency, throughput, and packet loss.\n- **Support for Multiple Tools**: Integrates with DPDK, eBPF, and Scapy.\n- **Traffic Generation**: Use TREX or other traffic generators to simulate user data.\n- **Comprehensive Documentation**: Detailed guides for setup and usage.\n\n## Technologies Used\n\nThis project utilizes several technologies to achieve its goals:\n\n- **5G**: The next generation of mobile networks.\n- **5GC**: The 5G Core, essential for managing network functions.\n- **DPDK**: Data Plane Development Kit for fast packet processing.\n- **eBPF**: Extended Berkeley Packet Filter for efficient network monitoring.\n- **Free5GC**: An open-source 5G core network solution.\n- **Open5GS**: Another open-source 5G core network implementation.\n- **Latency Measurement**: Tools to measure response times.\n- **PFCP**: Packet Forwarding Control Protocol, crucial for UPF.\n- **Proxmox**: Virtualization platform to run UPF instances.\n- **Scapy**: A Python library for packet manipulation.\n- **Traffic Generators**: Tools like TREX to simulate network traffic.\n- **VPP**: Vector Packet Processing for high-performance networking.\n- **XDP**: eXpress Data Path for fast packet processing in the Linux kernel.\n\n## Installation\n\nTo install the project, follow these steps:\n\n1. **Clone the Repository**:\n   ```bash\n   git clone https://github.com/marcomannu/simple_measurement_of_upf_performance_9.git\n   cd simple_measurement_of_upf_performance_9\n   ```\n\n2. **Install Dependencies**:\n   Ensure you have the necessary tools installed. You may need:\n   - Python 3.x\n   - DPDK\n   - Scapy\n   - Other libraries as specified in the requirements file.\n\n   You can install Python dependencies using:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. **Set Up Virtual Environment** (optional but recommended):\n   ```bash\n   python -m venv venv\n   source venv/bin/activate\n   ```\n\n4. **Build the Project**:\n   Depending on the components you wish to use, follow the build instructions in the documentation.\n\n5. **Run the Application**:\n   Start the application using the provided scripts. Refer to the usage section for more details.\n\n## Usage\n\nAfter installation, you can start measuring UPF performance. The following steps outline basic usage:\n\n1. **Configure the UPF**: Modify the configuration files to set parameters like IP addresses, ports, and other network settings.\n\n2. **Launch the Performance Test**:\n   Use the provided scripts to initiate the performance tests. For example:\n   ```bash\n   ./run_performance_test.sh\n   ```\n\n3. **Analyze Results**: The results will be saved in a specified directory. Use the analysis scripts to interpret the data.\n\n4. **Adjust Parameters**: Modify the configuration and rerun tests to see how changes affect performance.\n\n## Performance Measurement\n\nThis section covers how to measure UPF performance effectively.\n\n### Latency Measurement\n\nLatency is a critical metric in network performance. To measure latency, you can use tools like Scapy or DPDK. The project includes scripts that automate this process.\n\n### Throughput Testing\n\nThroughput refers to the amount of data transmitted over a network in a given time. Use TREX or similar traffic generators to simulate real-world traffic patterns. The results will help identify bottlenecks in the UPF.\n\n### Packet Loss Analysis\n\nPacket loss can significantly impact user experience. Monitor packet loss during your tests to understand the reliability of your UPF setup. Use tools integrated into the project to collect this data.\n\n## Contributing\n\nWe welcome contributions to improve this project. To contribute:\n\n1. Fork the repository.\n2. Create a new branch for your feature or fix.\n3. Make your changes and commit them.\n4. Push your branch and create a pull request.\n\nPlease ensure that your code follows the project's style guidelines and includes tests where applicable.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n## Contact\n\nFor questions or feedback, feel free to reach out:\n\n- **Author**: Marco Mannu\n- **Email**: marco@example.com\n- **GitHub**: [marcomannu](https://github.com/marcomannu)\n\nFor the latest releases, please visit [this link](https://github.com/marcomannu/simple_measurement_of_upf_performance_9/releases). Download the necessary files and execute them to get started with measuring UPF performance.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcomannu%2Fsimple_measurement_of_upf_performance_9","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarcomannu%2Fsimple_measurement_of_upf_performance_9","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcomannu%2Fsimple_measurement_of_upf_performance_9/lists"}