The interrupt mechanism solves multiple problems in industrial systems, including:
1. Inefficiency and Resource Wastage
Before interrupts, industrial systems used polling, where the CPU continuously checks each device or sensor in a sequence, consuming considerable processing power even when there was no new data. This method caused high latency as the CPU had to cycle through all devices, potentially missing critical updates.
Interrupts address this by allowing the CPU to remain idle or perform other tasks until an event occurs, thus saving processing resources. The immediate handling of high-priority events significantly reduces the response and latency time.
2. Lack of Real-time Responsiveness
Polling could not guarantee real-time responsiveness, which is crucial for applications such as process control or robot movements. Interrupts provide a remedy here by enabling an immediate response. The system can react immediately to critical events, ensuring that time-critical processes are executed without delay.
3. Scalability Issues
As the number of devices or sensors increased, the overhead and complexity of polling each device increased, making systems less scalable and more difficult to manage. Interrupts provide a remedy here, as the devices signal the CPU independently and directly when they need attention. This simplifies system management and supports scalability
4. Unpredictability in Timing
Polling could not guarantee predictable scheduling for handling events, resulting in non-deterministic system behavior. Interrupts address this by providing a predictable method for event handling that prioritizes critical tasks for timely processing.
5. Resource Prioritization
Polling treats all tasks with the same priority, which is inefficient in industrial systems where some tasks are more urgent than others. Allowing different priority levels for interrupts ensures that more critical tasks are processed first, while less critical ones wait.