Is it possible to implement parallel data processing on resource-constrained devices?

Yes, parallel data processing can be implemented on resource-constrained devices, but considering limitations in memory and computational power.

In Java, you can use:

• Threads — create a limited number of threads to avoid overloading the device.
• ExecutorService with a fixed thread pool — manage the number of tasks running simultaneously.
• Asynchronous approaches (CompletableFuture) — for non-blocking processing.

It is important to optimize tasks, minimize memory usage, and consider power consumption. For example, on microcontrollers with Java ME or Android devices with limited resources, it is crucial to carefully choose the size of the thread pool.

Example of creating a fixed thread pool:

ExecutorService executor = Executors.newFixedThreadPool(2);
executor.submit(() -> {
    // task
});
executor.shutdown();