👉 Interval computing is a paradigm that shifts the focus from precise timing to time intervals, offering a more flexible and robust approach to real-time systems. Unlike traditional computing, which relies on exact timing, interval computing allows for approximate timing by defining a range or interval during which an event is expected to occur. This approach acknowledges the inherent uncertainties and delays in real-world systems, such as sensor inaccuracies or communication latency. By working with intervals rather than exact times, interval computing can provide more reliable and efficient solutions for tasks like scheduling, resource allocation, and control systems. It achieves this by using interval arithmetic to reason about the timing of events and making decisions based on these intervals, thus enhancing system performance and robustness in dynamic and unpredictable environments.
