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Configuring Linux systems to support edge computing and smart device development

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2023-07-04 21:00:051419browse

Configuring Linux systems to support edge computing and smart device development

With the rapid development of edge computing and smart devices, more and more developers are turning their attention to how to perform edge computing on Linux systems. Computing and smart device development. This article will describe how to configure a Linux system to support both aspects of development, and provide some code examples.

1. Install the Linux system

First, we need to choose a Linux distribution suitable for edge computing and smart device development, such as Ubuntu or Debian. You can download the image file from the official website and install it according to the official guide. During the installation process, you can choose to install additional development toolsets.

2. Update the Linux system

After the installation is completed, we need to ensure that the Linux system is up to date. Execute the following command to update system packages:

sudo apt update
sudo apt upgrade

This will update all packages on the system to the latest version.

3. Install development tools

Next, we need to install some necessary development tools. The following are some commonly used development tools:

  1. GNU tool chain: An essential tool chain for embedded development on Linux systems, including gcc, g, make, etc. Execute the following command to install:
sudo apt install build-essential
  1. CMake: used to build cross-platform projects, allowing developers to use device configurations that are independent of operating systems and compilers. Execute the following command to install:
sudo apt install cmake
  1. Python Development Kit: Many edge computing and smart device developments use the Python programming language. Execute the following command to install:
sudo apt install python-dev python-pip
  1. Hardware-specific SDK: If you are using a specific smart device for development, there is usually a hardware-specific SDK for developers to use. You can download it from the official website of the device and follow the instructions to install it.

4. Configure environment variables

After completing the above steps, we need to configure environment variables so that we can access the development tools normally in the terminal.

  1. Open the terminal and execute the following command:
nano ~/.bashrc
  1. In the opened file, add the following content:
export PATH=$PATH:/usr/local/bin
  1. Press Ctrl X to save and exit.
  2. Execute the following command to make the changes take effect:
source ~/.bashrc

5. Code example

The following is a simple code example showing how to implement it through Python on a Linux system A basic edge computing task. In this example, we will use Python's socket module to create a simple server and listen on a port to receive requests from clients.

import socket

def main():
    # 创建socket对象
    server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    
    # 绑定IP地址和端口
    server_socket.bind(('0.0.0.0', 8080))
    
    # 监听端口,最大连接数为5
    server_socket.listen(5)
    
    while True:
        # 接受客户端连接
        client_socket, client_address = server_socket.accept()
        
        # 接收客户端请求
        data = client_socket.recv(1024)
        
        # 处理请求
        response = 'Hello, World!'
        
        # 发送响应
        client_socket.sendall(response.encode())
        
        # 关闭连接
        client_socket.close()

if __name__ == '__main__':
    main()

The above code creates a simple server that listens for connections with IP address 0.0.0.0 and port 8080, and returns a simple response after receiving a client request.

6. Summary

Through the configuration and code examples in this article, you can easily develop edge computing and smart devices on Linux systems. Of course, this article only gives some basic configurations and examples, and the actual development process may involve more tools and technologies. I hope this article can provide some help for you in edge computing and smart device development on Linux.

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