👉 Delay computing, also known as dataflow or event-driven computing, is a paradigm where computations are triggered by the occurrence of events rather than by a fixed schedule. In this model, data is processed as soon as it becomes available, and tasks are executed based on the availability of inputs or events, rather than a predefined sequence. This approach allows for more efficient use of resources and can lead to significant performance improvements in systems where data dependencies are irregular or unpredictable. Delay computing is particularly useful in distributed systems, real-time applications, and scenarios involving large datasets, as it reduces idle time and enables parallel processing of data as soon as it becomes relevant.
