Interprocess Communication Example

An example of parallel data processing with task distribution among several workers using Node.js/Elixir TCP sockets.

Architecture

Server (server.js)

• Listens on port 2000
• Splits an array of tasks into chunks of 4 elements
• Distributes chunks to connected clients
• Collects results from all clients
• Combines results in the correct order

Client (client.js)

• Creates 4 concurrent connections to the server
• Receives a task (array of numbers)
• Processes the task: multiplies each number by 2 with a random delay (1-10 seconds)
• Sends the result back to the server

How to Run

1. Start the server:

node server

2. In a separate terminal, start the clients:

node client

Example Output

The server will distribute the task array [2, 17, 3, 2, 5, 7, 15, 22, 1, 14, 15, 9, 0, 11] among 4 clients and collect the processed results (each number multiplied by 2):

Final result: [4, 34, 6, 4, 10, 14, 30, 44, 2, 28, 30, 18, 0, 22]

Use Case

This pattern is useful for:

• Distributing computational tasks across multiple workers
• Load balancing between multiple processors
• Parallel data processing with centralized result collection