Process-Based Concurrency
Process-based concurrency is a programming paradigm where multiple independent processes run concurrently, each with its own memory space and resources, to achieve parallelism and improve system performance. It leverages operating system processes to handle tasks simultaneously, often using inter-process communication (IPC) mechanisms like pipes, sockets, or shared memory for coordination. This approach is commonly used in systems programming, server applications, and distributed computing to manage workloads efficiently.
Developers should learn process-based concurrency when building scalable systems that require high isolation between tasks, such as web servers handling multiple client requests or data processing pipelines where failures in one part shouldn't crash others. It's particularly useful in environments like Unix/Linux systems, where processes are lightweight and robust, and for applications needing to leverage multi-core CPUs effectively without shared memory risks like race conditions.